Overview

Dataset statistics

Number of variables181
Number of observations130157
Missing cells8018193
Missing cells (%)34.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory179.7 MiB
Average record size in memory1.4 KiB

Variable types

NUM159
BOOL15
CAT7

Reproduction

Analysis started2021-01-30 16:52:44.694736
Analysis finished2021-01-30 16:52:50.885367
Duration6.19 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

readmission_status has constant value "0" Constant
age has 4988 (3.8%) missing values Missing
bmi has 4490 (3.4%) missing values Missing
ethnicity has 1587 (1.2%) missing values Missing
height has 2077 (1.6%) missing values Missing
hospital_admit_source has 33198 (25.5%) missing values Missing
weight has 3463 (2.7%) missing values Missing
albumin_apache has 78163 (60.1%) missing values Missing
apache_2_diagnosis has 1685 (1.3%) missing values Missing
bilirubin_apache has 82560 (63.4%) missing values Missing
bun_apache has 25411 (19.5%) missing values Missing
creatinine_apache has 24882 (19.1%) missing values Missing
fio2_apache has 99720 (76.6%) missing values Missing
gcs_eyes_apache has 2190 (1.7%) missing values Missing
gcs_motor_apache has 2190 (1.7%) missing values Missing
gcs_verbal_apache has 2190 (1.7%) missing values Missing
glucose_apache has 14696 (11.3%) missing values Missing
hematocrit_apache has 26758 (20.6%) missing values Missing
paco2_apache has 99720 (76.6%) missing values Missing
paco2_for_ph_apache has 99720 (76.6%) missing values Missing
pao2_apache has 99720 (76.6%) missing values Missing
ph_apache has 99720 (76.6%) missing values Missing
sodium_apache has 24519 (18.8%) missing values Missing
temp_apache has 6611 (5.1%) missing values Missing
urineoutput_apache has 63167 (48.5%) missing values Missing
wbc_apache has 29475 (22.6%) missing values Missing
d1_diasbp_invasive_max has 95068 (73.0%) missing values Missing
d1_diasbp_invasive_min has 95068 (73.0%) missing values Missing
d1_diasbp_noninvasive_max has 1636 (1.3%) missing values Missing
d1_diasbp_noninvasive_min has 1636 (1.3%) missing values Missing
d1_mbp_invasive_max has 94868 (72.9%) missing values Missing
d1_mbp_invasive_min has 94868 (72.9%) missing values Missing
d1_mbp_noninvasive_max has 2228 (1.7%) missing values Missing
d1_mbp_noninvasive_min has 2228 (1.7%) missing values Missing
d1_sysbp_invasive_max has 95038 (73.0%) missing values Missing
d1_sysbp_invasive_min has 95038 (73.0%) missing values Missing
d1_sysbp_noninvasive_max has 1623 (1.2%) missing values Missing
d1_sysbp_noninvasive_min has 1623 (1.2%) missing values Missing
d1_temp_max has 4494 (3.5%) missing values Missing
d1_temp_min has 4494 (3.5%) missing values Missing
h1_diasbp_invasive_max has 104829 (80.5%) missing values Missing
h1_diasbp_invasive_min has 104829 (80.5%) missing values Missing
h1_diasbp_max has 5527 (4.2%) missing values Missing
h1_diasbp_min has 5527 (4.2%) missing values Missing
h1_diasbp_noninvasive_max has 11339 (8.7%) missing values Missing
h1_diasbp_noninvasive_min has 11339 (8.7%) missing values Missing
h1_heartrate_max has 4074 (3.1%) missing values Missing
h1_heartrate_min has 4074 (3.1%) missing values Missing
h1_mbp_invasive_max has 104766 (80.5%) missing values Missing
h1_mbp_invasive_min has 104766 (80.5%) missing values Missing
h1_mbp_max has 6530 (5.0%) missing values Missing
h1_mbp_min has 6530 (5.0%) missing values Missing
h1_mbp_noninvasive_max has 13297 (10.2%) missing values Missing
h1_mbp_noninvasive_min has 13297 (10.2%) missing values Missing
h1_resprate_max has 6454 (5.0%) missing values Missing
h1_resprate_min has 6454 (5.0%) missing values Missing
h1_spo2_max has 6242 (4.8%) missing values Missing
h1_spo2_min has 6242 (4.8%) missing values Missing
h1_sysbp_invasive_max has 104807 (80.5%) missing values Missing
h1_sysbp_invasive_min has 104807 (80.5%) missing values Missing
h1_sysbp_max has 5519 (4.2%) missing values Missing
h1_sysbp_min has 5519 (4.2%) missing values Missing
h1_sysbp_noninvasive_max has 11330 (8.7%) missing values Missing
h1_sysbp_noninvasive_min has 11330 (8.7%) missing values Missing
h1_temp_max has 29703 (22.8%) missing values Missing
h1_temp_min has 29703 (22.8%) missing values Missing
d1_albumin_max has 71406 (54.9%) missing values Missing
d1_albumin_min has 71406 (54.9%) missing values Missing
d1_bilirubin_max has 76735 (59.0%) missing values Missing
d1_bilirubin_min has 76735 (59.0%) missing values Missing
d1_bun_max has 13734 (10.6%) missing values Missing
d1_bun_min has 13734 (10.6%) missing values Missing
d1_calcium_max has 16692 (12.8%) missing values Missing
d1_calcium_min has 16692 (12.8%) missing values Missing
d1_creatinine_max has 13273 (10.2%) missing values Missing
d1_creatinine_min has 13273 (10.2%) missing values Missing
d1_glucose_max has 8243 (6.3%) missing values Missing
d1_glucose_min has 8243 (6.3%) missing values Missing
d1_hco3_max has 20047 (15.4%) missing values Missing
d1_hco3_min has 20047 (15.4%) missing values Missing
d1_hemaglobin_max has 16232 (12.5%) missing values Missing
d1_hemaglobin_min has 16232 (12.5%) missing values Missing
d1_hematocrit_max has 15588 (12.0%) missing values Missing
d1_hematocrit_min has 15588 (12.0%) missing values Missing
d1_inr_max has 81213 (62.4%) missing values Missing
d1_inr_min has 81213 (62.4%) missing values Missing
d1_lactate_max has 95503 (73.4%) missing values Missing
d1_lactate_min has 95503 (73.4%) missing values Missing
d1_platelets_max has 18557 (14.3%) missing values Missing
d1_platelets_min has 18557 (14.3%) missing values Missing
d1_potassium_max has 12546 (9.6%) missing values Missing
d1_potassium_min has 12546 (9.6%) missing values Missing
d1_sodium_max has 13270 (10.2%) missing values Missing
d1_sodium_min has 13270 (10.2%) missing values Missing
d1_wbc_max has 17429 (13.4%) missing values Missing
d1_wbc_min has 17429 (13.4%) missing values Missing
h1_albumin_max has 119005 (91.4%) missing values Missing
h1_albumin_min has 119005 (91.4%) missing values Missing
h1_bilirubin_max has 119861 (92.1%) missing values Missing
h1_bilirubin_min has 119861 (92.1%) missing values Missing
h1_bun_max has 104990 (80.7%) missing values Missing
h1_bun_min has 104990 (80.7%) missing values Missing
h1_calcium_max has 105921 (81.4%) missing values Missing
h1_calcium_min has 105921 (81.4%) missing values Missing
h1_creatinine_max has 104784 (80.5%) missing values Missing
h1_creatinine_min has 104784 (80.5%) missing values Missing
h1_glucose_max has 75073 (57.7%) missing values Missing
h1_glucose_min has 75073 (57.7%) missing values Missing
h1_hco3_max has 106395 (81.7%) missing values Missing
h1_hco3_min has 106395 (81.7%) missing values Missing
h1_hemaglobin_max has 102790 (79.0%) missing values Missing
h1_hemaglobin_min has 102790 (79.0%) missing values Missing
h1_hematocrit_max has 102956 (79.1%) missing values Missing
h1_hematocrit_min has 102956 (79.1%) missing values Missing
h1_inr_max has 81213 (62.4%) missing values Missing
h1_inr_min has 81213 (62.4%) missing values Missing
h1_lactate_max has 118467 (91.0%) missing values Missing
h1_lactate_min has 118467 (91.0%) missing values Missing
h1_platelets_max has 105729 (81.2%) missing values Missing
h1_platelets_min has 105729 (81.2%) missing values Missing
h1_potassium_max has 100821 (77.5%) missing values Missing
h1_potassium_min has 100821 (77.5%) missing values Missing
h1_sodium_max has 101781 (78.2%) missing values Missing
h1_sodium_min has 101781 (78.2%) missing values Missing
h1_wbc_max has 105986 (81.4%) missing values Missing
h1_wbc_min has 105986 (81.4%) missing values Missing
d1_arterial_pco2_max has 84461 (64.9%) missing values Missing
d1_arterial_pco2_min has 84461 (64.9%) missing values Missing
d1_arterial_ph_max has 84807 (65.2%) missing values Missing
d1_arterial_ph_min has 84807 (65.2%) missing values Missing
d1_arterial_po2_max has 84010 (64.5%) missing values Missing
d1_arterial_po2_min has 84010 (64.5%) missing values Missing
d1_pao2fio2ratio_max has 93339 (71.7%) missing values Missing
d1_pao2fio2ratio_min has 93339 (71.7%) missing values Missing
h1_arterial_pco2_max has 107666 (82.7%) missing values Missing
h1_arterial_pco2_min has 107666 (82.7%) missing values Missing
h1_arterial_ph_max has 107849 (82.9%) missing values Missing
h1_arterial_ph_min has 107849 (82.9%) missing values Missing
h1_arterial_po2_max has 107445 (82.6%) missing values Missing
h1_arterial_po2_min has 107445 (82.6%) missing values Missing
h1_pao2fio2ratio_max has 113397 (87.1%) missing values Missing
h1_pao2fio2ratio_min has 113397 (87.1%) missing values Missing
Unnamed: 0 has unique values Unique
encounter_id has unique values Unique
pre_icu_los_days has 5364 (4.1%) zeros Zeros
d1_resprate_min has 5868 (4.5%) zeros Zeros

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIQUE

Distinct count130157
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65079.0
Minimum1
Maximum130157
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:51.085855image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6508.8
Q132540
median65079
Q397618
95-th percentile123649.2
Maximum130157
Range130156
Interquartile range (IQR)65078

Descriptive statistics

Standard deviation37573.23383
Coefficient of variation (CV)0.5773480513
Kurtosis-1.2
Mean65079
Median Absolute Deviation (MAD)32539
Skewness0
Sum8470487403
Variance1411747900
2021-01-30T16:52:51.221080image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20491< 0.1%
 
7251< 0.1%
 
1133781< 0.1%
 
1072331< 0.1%
 
1092801< 0.1%
 
212151< 0.1%
 
232621< 0.1%
 
171171< 0.1%
 
191641< 0.1%
 
294031< 0.1%
 
Other values (130147)130147> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
1301571< 0.1%
 
1301561< 0.1%
 
1301551< 0.1%
 
1301541< 0.1%
 
1301531< 0.1%
 

encounter_id
Real number (ℝ≥0)

UNIQUE

Distinct count130157
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213000.85651943422
Minimum147000
Maximum279000
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:51.430253image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum147000
5-th percentile153580.8
Q1180001
median213014
Q3246002
95-th percentile272404.2
Maximum279000
Range132000
Interquartile range (IQR)66001

Descriptive statistics

Standard deviation38109.82815
Coefficient of variation (CV)0.1789186615
Kurtosis-1.199884749
Mean213000.8565
Median Absolute Deviation (MAD)33000
Skewness-0.0005222575479
Sum2.772355248e+10
Variance1452359001
2021-01-30T16:52:51.558369image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2621441< 0.1%
 
1786901< 0.1%
 
1848471< 0.1%
 
1868941< 0.1%
 
1807491< 0.1%
 
1827961< 0.1%
 
1930351< 0.1%
 
1950821< 0.1%
 
1889371< 0.1%
 
1909841< 0.1%
 
Other values (130147)130147> 99.9%
 
ValueCountFrequency (%) 
1470001< 0.1%
 
1470011< 0.1%
 
1470021< 0.1%
 
1470031< 0.1%
 
1470041< 0.1%
 
ValueCountFrequency (%) 
2790001< 0.1%
 
2789991< 0.1%
 
2789981< 0.1%
 
2789971< 0.1%
 
2789961< 0.1%
 

hospital_id
Real number (ℝ≥0)

Distinct count204
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.10213050392987
Minimum1
Maximum204
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:51.698321image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q149
median112
Q3165
95-th percentile196
Maximum204
Range203
Interquartile range (IQR)116

Descriptive statistics

Standard deviation63.4822766
Coefficient of variation (CV)0.5983129302
Kurtosis-1.350795386
Mean106.1021305
Median Absolute Deviation (MAD)57
Skewness-0.1163887832
Sum13809935
Variance4029.999442
2021-01-30T16:52:51.833971image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11843063.3%
 
1938853.0%
 
18830752.4%
 
8629622.3%
 
729442.3%
 
16127482.1%
 
7027382.1%
 
17527322.1%
 
19627152.1%
 
17625652.0%
 
Other values (194)9948776.4%
 
ValueCountFrequency (%) 
111680.9%
 
212801.0%
 
345< 0.1%
 
47< 0.1%
 
54130.3%
 
ValueCountFrequency (%) 
20412210.9%
 
20315621.2%
 
2023070.2%
 
2012900.2%
 
2003670.3%
 

age
Real number (ℝ≥0)

MISSING

Distinct count75
Unique (%)0.1%
Missing4988
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean61.99510262125606
Minimum0.0
Maximum89.0
Zeros30
Zeros (%)< 0.1%
Memory size1016.9 KiB
2021-01-30T16:52:51.981270image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q152
median64
Q375
95-th percentile86
Maximum89
Range89
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.82287976
Coefficient of variation (CV)0.2713582049
Kurtosis-0.2134953467
Mean61.99510262
Median Absolute Deviation (MAD)11
Skewness-0.6084364088
Sum7759865
Variance283.0092835
2021-01-30T16:52:52.107933image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6732292.5%
 
6830652.4%
 
7130602.4%
 
7229952.3%
 
6629772.3%
 
6529092.2%
 
6328852.2%
 
7028482.2%
 
6227902.1%
 
7327662.1%
 
Other values (65)9564573.5%
 
(Missing)49883.8%
 
ValueCountFrequency (%) 
030< 0.1%
 
16850.1%
 
171800.1%
 
183770.3%
 
194900.4%
 
ValueCountFrequency (%) 
8913261.0%
 
8815011.2%
 
8717231.3%
 
8618271.4%
 
8519531.5%
 

bmi
Real number (ℝ≥0)

MISSING

Distinct count41453
Unique (%)33.0%
Missing4490
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean29.11025953057063
Minimum14.84492591
Maximum67.81498973
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:52.264718image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum14.84492591
5-th percentile18.83598172
Q123.59800638
median27.56474901
Q332.80312683
95-th percentile44.42591288
Maximum67.81498973
Range52.97006382
Interquartile range (IQR)9.20512045

Descriptive statistics

Standard deviation8.262775622
Coefficient of variation (CV)0.2838441071
Kurtosis3.541898929
Mean29.11025953
Median Absolute Deviation (MAD)4.47055611
Skewness1.468454836
Sum3658198.984
Variance68.27346099
2021-01-30T16:52:52.391472image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
67.814989736290.5%
 
14.844925916270.5%
 
28.690873711140.1%
 
24.017767851130.1%
 
24.208111130.1%
 
27.359331631130.1%
 
23.295904581080.1%
 
25.812296521060.1%
 
29.0497321050.1%
 
22.606102721040.1%
 
Other values (41443)12353594.9%
 
(Missing)44903.4%
 
ValueCountFrequency (%) 
14.844925916270.5%
 
14.845267461< 0.1%
 
14.846036141< 0.1%
 
14.858017881< 0.1%
 
14.864195311< 0.1%
 
ValueCountFrequency (%) 
67.814989736290.5%
 
67.812635631< 0.1%
 
67.79780592< 0.1%
 
67.783451281< 0.1%
 
67.779275581< 0.1%
 

elective_surgery
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
105448
1
24709
ValueCountFrequency (%) 
010544881.0%
 
12470919.0%
 

ethnicity
Categorical

MISSING

Distinct count6
Unique (%)< 0.1%
Missing1587
Missing (%)1.2%
Memory size1016.9 KiB
Caucasian
100236
African American
 
13911
Other/Unknown
 
6261
Hispanic
 
5049
Asian
 
2198
ValueCountFrequency (%) 
Caucasian10023677.0%
 
African American1391110.7%
 
Other/Unknown62614.8%
 
Hispanic50493.9%
 
Asian21981.7%
 
Native American9150.7%
 
(Missing)15871.2%
 

gender
Categorical

Distinct count2
Unique (%)< 0.1%
Missing66
Missing (%)0.1%
Memory size1016.9 KiB
M
70518
F
59573
ValueCountFrequency (%) 
M7051854.2%
 
F5957345.8%
 
(Missing)660.1%
 

height
Real number (ℝ≥0)

MISSING

Distinct count443
Unique (%)0.3%
Missing2077
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean169.60721892567148
Minimum137.2
Maximum195.59
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:52.527405image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum137.2
5-th percentile152.4
Q1162.5
median170.1
Q3177.8
95-th percentile187.9
Maximum195.59
Range58.39
Interquartile range (IQR)15.3

Descriptive statistics

Standard deviation10.83308542
Coefficient of variation (CV)0.06387160574
Kurtosis-0.3913951999
Mean169.6072189
Median Absolute Deviation (MAD)7.7
Skewness-0.1034313995
Sum21723292.6
Variance117.3557397
2021-01-30T16:52:52.650718image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
177.873575.7%
 
167.673525.6%
 
16073195.6%
 
172.768005.2%
 
165.167075.2%
 
170.259004.5%
 
162.656894.4%
 
182.952434.0%
 
175.351253.9%
 
180.349733.8%
 
Other values (433)6561550.4%
 
ValueCountFrequency (%) 
137.26570.5%
 
137.61< 0.1%
 
1385< 0.1%
 
138.51< 0.1%
 
1399< 0.1%
 
ValueCountFrequency (%) 
195.596390.5%
 
195.585< 0.1%
 
195.538< 0.1%
 
195.31< 0.1%
 
19529< 0.1%
 

hospital_admit_source
Categorical

MISSING

Distinct count15
Unique (%)< 0.1%
Missing33198
Missing (%)25.5%
Memory size1016.9 KiB
Emergency Department
51258
Operating Room
13757
Floor
11324
Direct Admit
 
8253
Recovery Room
 
4563
Other values (10)
 
7804
ValueCountFrequency (%) 
Emergency Department5125839.4%
 
Operating Room1375710.6%
 
Floor113248.7%
 
Direct Admit82536.3%
 
Recovery Room45633.5%
 
Other Hospital24171.9%
 
Acute Care/Floor20971.6%
 
Step-Down Unit (SDU)16071.2%
 
PACU10310.8%
 
Other ICU2830.2%
 
Other values (5)3690.3%
 
(Missing)3319825.5%
 

icu_admit_source
Categorical

Distinct count5
Unique (%)< 0.1%
Missing240
Missing (%)0.2%
Memory size1016.9 KiB
Accident & Emergency
76846
Operating Room / Recovery
27436
Floor
21459
Other Hospital
 
3464
Other ICU
 
712
ValueCountFrequency (%) 
Accident & Emergency7684659.0%
 
Operating Room / Recovery2743621.1%
 
Floor2145916.5%
 
Other Hospital34642.7%
 
Other ICU7120.5%
 
(Missing)2400.2%
 

icu_id
Real number (ℝ≥0)

Distinct count328
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean662.4283442304294
Minimum82
Maximum1111
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:52.781581image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile109
Q1427
median653
Q3969
95-th percentile1074
Maximum1111
Range1029
Interquartile range (IQR)542

Descriptive statistics

Standard deviation304.2598431
Coefficient of variation (CV)0.4593098193
Kurtosis-1.112583219
Mean662.4283442
Median Absolute Deviation (MAD)265
Skewness-0.2230913704
Sum86219686
Variance92574.05213
2021-01-30T16:52:52.897283image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
101913441.0%
 
64613121.0%
 
65312961.0%
 
87612801.0%
 
41312190.9%
 
99811840.9%
 
23611320.9%
 
33710930.8%
 
101210810.8%
 
107810670.8%
 
Other values (318)11814990.8%
 
ValueCountFrequency (%) 
821500.1%
 
831850.1%
 
852700.2%
 
872330.2%
 
891420.1%
 
ValueCountFrequency (%) 
11112830.2%
 
11098110.6%
 
11084640.4%
 
11074950.4%
 
11063540.3%
 

icu_stay_type
Categorical

Distinct count3
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
admit
124741
transfer
 
4801
readmit
 
615
ValueCountFrequency (%) 
admit12474195.8%
 
transfer48013.7%
 
readmit6150.5%
 

icu_type
Categorical

Distinct count8
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
Med-Surg ICU
71468
CCU-CTICU
 
11220
MICU
 
10944
Neuro ICU
 
10533
Cardiac ICU
 
8276
Other values (3)
17716
ValueCountFrequency (%) 
Med-Surg ICU7146854.9%
 
CCU-CTICU112208.6%
 
MICU109448.4%
 
Neuro ICU105338.1%
 
Cardiac ICU82766.4%
 
SICU82586.3%
 
CSICU49813.8%
 
CTICU44773.4%
 

pre_icu_los_days
Real number (ℝ)

ZEROS

Distinct count10912
Unique (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8399331779169773
Minimum-0.25
Maximum175.6277778
Zeros5364
Zeros (%)4.1%
Memory size1016.9 KiB
2021-01-30T16:52:53.030661image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.25
5-th percentile0.000694444
Q10.045833333
median0.155555556
Q30.423611111
95-th percentile4.334861111
Maximum175.6277778
Range175.8777778
Interquartile range (IQR)0.377777778

Descriptive statistics

Standard deviation2.485336765
Coefficient of variation (CV)2.95896963
Kurtosis445.7641909
Mean0.8399331779
Median Absolute Deviation (MAD)0.138194445
Skewness12.66510184
Sum109323.1826
Variance6.176898834
2021-01-30T16:52:53.174993image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
053644.1%
 
0.00069444416491.3%
 
0.00138888911280.9%
 
0.00208333310160.8%
 
0.0034722229270.7%
 
0.0027777789210.7%
 
0.0048611118440.6%
 
0.0041666678260.6%
 
0.006257700.6%
 
0.0055555567410.6%
 
Other values (10902)11597189.1%
 
ValueCountFrequency (%) 
-0.251< 0.1%
 
-0.2444444441< 0.1%
 
-0.23751< 0.1%
 
-0.2347222221< 0.1%
 
-0.2243055561< 0.1%
 
ValueCountFrequency (%) 
175.62777781< 0.1%
 
159.09097221< 0.1%
 
87.952777781< 0.1%
 
84.367361111< 0.1%
 
81.802777781< 0.1%
 

readmission_status
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
130157
ValueCountFrequency (%) 
0130157100.0%
 

weight
Real number (ℝ≥0)

MISSING

Distinct count3636
Unique (%)2.9%
Missing3463
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean83.79110431433217
Minimum38.6
Maximum186.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:53.322873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum38.6
5-th percentile50
Q166.5
median80
Q396.8
95-th percentile129.5
Maximum186
Range147.4
Interquartile range (IQR)30.3

Descriptive statistics

Standard deviation24.96306264
Coefficient of variation (CV)0.297920201
Kurtosis1.88255424
Mean83.79110431
Median Absolute Deviation (MAD)15
Skewness1.07828834
Sum10615830.17
Variance623.1544963
2021-01-30T16:52:53.458343image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6814271.1%
 
81.612521.0%
 
63.511670.9%
 
90.711230.9%
 
77.110370.8%
 
72.67980.6%
 
597710.6%
 
707690.6%
 
757570.6%
 
807530.6%
 
Other values (3626)11684089.8%
 
(Missing)34632.7%
 
ValueCountFrequency (%) 
38.66630.5%
 
38.79< 0.1%
 
38.88< 0.1%
 
38.96< 0.1%
 
3946< 0.1%
 
ValueCountFrequency (%) 
1866340.5%
 
185.81< 0.1%
 
185.61< 0.1%
 
185.55< 0.1%
 
185.44< 0.1%
 

albumin_apache
Real number (ℝ≥0)

MISSING

Distinct count36
Unique (%)0.1%
Missing78163
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean2.8861491710581992
Minimum1.2
Maximum4.6
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:53.598575image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.7
Q12.4
median2.9
Q33.4
95-th percentile4
Maximum4.6
Range3.4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6898123724
Coefficient of variation (CV)0.2390078723
Kurtosis-0.4045227618
Mean2.886149171
Median Absolute Deviation (MAD)0.5
Skewness-0.0901636949
Sum150062.44
Variance0.4758411091
2021-01-30T16:52:53.735661image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.129782.3%
 
329202.2%
 
2.929172.2%
 
2.828672.2%
 
3.227722.1%
 
2.726352.0%
 
3.325932.0%
 
2.625341.9%
 
2.523841.8%
 
3.422691.7%
 
Other values (26)2512519.3%
 
(Missing)7816360.1%
 
ValueCountFrequency (%) 
1.24760.4%
 
1.32460.2%
 
1.43150.2%
 
1.54630.4%
 
1.66620.5%
 
ValueCountFrequency (%) 
4.61860.1%
 
4.51550.1%
 
4.42400.2%
 
4.33740.3%
 
4.25000.4%
 

apache_2_diagnosis
Real number (ℝ≥0)

MISSING

Distinct count44
Unique (%)< 0.1%
Missing1685
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean185.4926832305872
Minimum101.0
Maximum308.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:53.880034image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile106
Q1113
median122
Q3301
95-th percentile307
Maximum308
Range207
Interquartile range (IQR)188

Descriptive statistics

Standard deviation85.85820826
Coefficient of variation (CV)0.4628657409
Kurtosis-1.582310961
Mean185.4926832
Median Absolute Deviation (MAD)16
Skewness0.5053188365
Sum23830616
Variance7371.631926
2021-01-30T16:52:54.013991image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1131640212.6%
 
30198587.6%
 
30289046.8%
 
11259814.6%
 
30858554.5%
 
12455484.3%
 
11752904.1%
 
12252064.0%
 
30350723.9%
 
30445943.5%
 
Other values (34)5576242.8%
 
ValueCountFrequency (%) 
1016050.5%
 
10226312.0%
 
1034870.4%
 
1045800.4%
 
10513691.1%
 
ValueCountFrequency (%) 
30858554.5%
 
30726292.0%
 
3068300.6%
 
30531112.4%
 
30445943.5%
 

apache_3j_diagnosis
Real number (ℝ≥0)

Distinct count400
Unique (%)0.3%
Missing865
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean565.9942960894721
Minimum0.01
Maximum2201.05
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:54.154692image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile104.01
Q1204.01
median409.02
Q3703.03
95-th percentile1503.02
Maximum2201.05
Range2201.04
Interquartile range (IQR)499.02

Descriptive statistics

Standard deviation466.5108501
Coefficient of variation (CV)0.8242324231
Kurtosis-0.03860852505
Mean565.9942961
Median Absolute Deviation (MAD)294.01
Skewness0.997748336
Sum73178534.53
Variance217632.3733
2021-01-30T16:52:54.284884image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
501.0561804.7%
 
107.0159814.6%
 
403.0154274.2%
 
106.0152904.1%
 
703.0341913.2%
 
104.0140293.1%
 
1207.0139353.0%
 
502.0138292.9%
 
102.0132722.5%
 
702.0129182.2%
 
Other values (390)8424064.7%
 
ValueCountFrequency (%) 
0.012< 0.1%
 
0.021< 0.1%
 
0.031< 0.1%
 
0.045< 0.1%
 
0.062< 0.1%
 
ValueCountFrequency (%) 
2201.05860.1%
 
2201.046< 0.1%
 
2201.0314< 0.1%
 
2201.0216< 0.1%
 
2201.0124< 0.1%
 

apache_post_operative
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
103200
1
26957
ValueCountFrequency (%) 
010320079.3%
 
12695720.7%
 

arf_apache
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
126513
1
 
3644
ValueCountFrequency (%) 
012651397.2%
 
136442.8%
 

bilirubin_apache
Real number (ℝ≥0)

MISSING

Distinct count585
Unique (%)1.2%
Missing82560
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean1.201221715654348
Minimum0.1
Maximum60.2
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:54.601919image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.1
95-th percentile3.5
Maximum60.2
Range60.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.351993609
Coefficient of variation (CV)1.95800124
Kurtosis103.503735
Mean1.201221716
Median Absolute Deviation (MAD)0.3
Skewness8.611120187
Sum57174.55
Variance5.531873936
2021-01-30T16:52:54.733995image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.456304.3%
 
0.553344.1%
 
0.347383.6%
 
0.645393.5%
 
0.737732.9%
 
0.831252.4%
 
0.924061.8%
 
0.223211.8%
 
120031.5%
 
1.114871.1%
 
Other values (575)122419.4%
 
(Missing)8256063.4%
 
ValueCountFrequency (%) 
0.12910.2%
 
0.121< 0.1%
 
0.132< 0.1%
 
0.144< 0.1%
 
0.153< 0.1%
 
ValueCountFrequency (%) 
60.21< 0.1%
 
511< 0.1%
 
50.91< 0.1%
 
481< 0.1%
 
43.81< 0.1%
 

bun_apache
Real number (ℝ≥0)

MISSING

Distinct count476
Unique (%)0.5%
Missing25411
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean25.718070475244875
Minimum4.0
Maximum127.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:54.870513image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q113
median19
Q331
95-th percentile69
Maximum127
Range123
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.69004127
Coefficient of variation (CV)0.8044943063
Kurtosis5.459412032
Mean25.71807048
Median Absolute Deviation (MAD)8
Skewness2.143584368
Sum2693865.01
Variance428.0778076
2021-01-30T16:52:54.989616image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1347153.6%
 
1245823.5%
 
1445573.5%
 
1544743.4%
 
1144553.4%
 
1641863.2%
 
1040723.1%
 
1738002.9%
 
935542.7%
 
1835482.7%
 
Other values (466)6280348.3%
 
(Missing)2541119.5%
 
ValueCountFrequency (%) 
411100.9%
 
4.32< 0.1%
 
4.41< 0.1%
 
4.62< 0.1%
 
4.71< 0.1%
 
ValueCountFrequency (%) 
1275090.4%
 
12623< 0.1%
 
12523< 0.1%
 
12424< 0.1%
 
12329< 0.1%
 

creatinine_apache
Real number (ℝ≥0)

MISSING

Distinct count1198
Unique (%)1.1%
Missing24882
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean1.4816293516979335
Minimum0.3
Maximum11.18
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:55.129899image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.5
Q10.71
median0.97
Q31.53
95-th percentile4.41
Maximum11.18
Range10.88
Interquartile range (IQR)0.82

Descriptive statistics

Standard deviation1.543534997
Coefficient of variation (CV)1.04178214
Kurtosis14.93573497
Mean1.481629352
Median Absolute Deviation (MAD)0.33
Skewness3.534487964
Sum155978.53
Variance2.382500287
2021-01-30T16:52:55.259028image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.836072.8%
 
0.734592.7%
 
0.928072.2%
 
0.626482.0%
 
1.118421.4%
 
118301.4%
 
1.215711.2%
 
0.515671.2%
 
1.313181.0%
 
1.411210.9%
 
Other values (1188)8350564.2%
 
(Missing)2488219.1%
 
ValueCountFrequency (%) 
0.35920.5%
 
0.3051< 0.1%
 
0.31710.1%
 
0.3162< 0.1%
 
0.32710.1%
 
ValueCountFrequency (%) 
11.185260.4%
 
11.172< 0.1%
 
11.121< 0.1%
 
11.113< 0.1%
 
11.16< 0.1%
 

fio2_apache
Real number (ℝ≥0)

MISSING

Distinct count87
Unique (%)0.3%
Missing99720
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean0.5957347636100798
Minimum0.21
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:55.387457image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.25
Q10.4
median0.5
Q30.85
95-th percentile1
Maximum1
Range0.79
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.2629221251
Coefficient of variation (CV)0.4413409141
Kurtosis-1.165120031
Mean0.5957347636
Median Absolute Deviation (MAD)0.15
Skewness0.4818347314
Sum18132.379
Variance0.06912804389
2021-01-30T16:52:55.528807image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
170835.4%
 
0.455424.3%
 
0.553784.1%
 
0.630292.3%
 
0.316571.3%
 
0.2112631.0%
 
0.811150.9%
 
0.711090.9%
 
0.357610.6%
 
0.285960.5%
 
Other values (77)29042.2%
 
(Missing)9972076.6%
 
ValueCountFrequency (%) 
0.2112631.0%
 
0.227< 0.1%
 
0.2326< 0.1%
 
0.2460< 0.1%
 
0.253670.3%
 
ValueCountFrequency (%) 
170835.4%
 
0.9961< 0.1%
 
0.9911< 0.1%
 
0.9852< 0.1%
 
0.9841< 0.1%
 

gcs_eyes_apache
Categorical

MISSING

Distinct count4
Unique (%)< 0.1%
Missing2190
Missing (%)1.7%
Memory size1016.9 KiB
4
91601
3
18662
1
 
11412
2
 
6292
ValueCountFrequency (%) 
49160170.4%
 
31866214.3%
 
1114128.8%
 
262924.8%
 
(Missing)21901.7%
 

gcs_motor_apache
Real number (ℝ≥0)

MISSING

Distinct count6
Unique (%)< 0.1%
Missing2190
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean5.484828119749623
Minimum1.0
Maximum6.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:55.703749image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.271039259
Coefficient of variation (CV)0.2317372999
Kurtosis6.575965316
Mean5.48482812
Median Absolute Deviation (MAD)0
Skewness-2.751858014
Sum701877
Variance1.615540798
2021-01-30T16:52:55.857110image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
610181878.2%
 
5108338.3%
 
175495.8%
 
464575.0%
 
38070.6%
 
25030.4%
 
(Missing)21901.7%
 
ValueCountFrequency (%) 
175495.8%
 
25030.4%
 
38070.6%
 
464575.0%
 
5108338.3%
 
ValueCountFrequency (%) 
610181878.2%
 
5108338.3%
 
464575.0%
 
38070.6%
 
25030.4%
 

gcs_unable_apache
Boolean

Distinct count2
Unique (%)< 0.1%
Missing709
Missing (%)0.5%
Memory size1016.9 KiB
0
127967
1
 
1481
(Missing)
 
709
ValueCountFrequency (%) 
012796798.3%
 
114811.1%
 
(Missing)7090.5%
 

gcs_verbal_apache
Real number (ℝ≥0)

MISSING

Distinct count5
Unique (%)< 0.1%
Missing2190
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.030203099236522
Minimum1.0
Maximum5.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:55.995050image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.538527973
Coefficient of variation (CV)0.3817494888
Kurtosis-0.1429919561
Mean4.030203099
Median Absolute Deviation (MAD)0
Skewness-1.261296133
Sum515733
Variance2.367068323
2021-01-30T16:52:56.137855image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
58222763.2%
 
12281817.5%
 
41577612.1%
 
343843.4%
 
227622.1%
 
(Missing)21901.7%
 
ValueCountFrequency (%) 
12281817.5%
 
227622.1%
 
343843.4%
 
41577612.1%
 
58222763.2%
 
ValueCountFrequency (%) 
58222763.2%
 
41577612.1%
 
343843.4%
 
227622.1%
 
12281817.5%
 

glucose_apache
Real number (ℝ≥0)

MISSING

Distinct count566
Unique (%)0.5%
Missing14696
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean160.1414157161293
Minimum39.0
Maximum598.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:56.296525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile73
Q197
median133
Q3195
95-th percentile340
Maximum598.7
Range559.7
Interquartile range (IQR)98

Descriptive statistics

Standard deviation90.70132685
Coefficient of variation (CV)0.5663826965
Kurtosis4.472010585
Mean160.1414157
Median Absolute Deviation (MAD)43
Skewness1.85029335
Sum18490088
Variance8226.730693
2021-01-30T16:52:56.438170image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9213731.1%
 
9613561.0%
 
9713261.0%
 
9513071.0%
 
9812921.0%
 
9312921.0%
 
9912861.0%
 
9412751.0%
 
9112691.0%
 
10012551.0%
 
Other values (556)10243078.7%
 
(Missing)1469611.3%
 
ValueCountFrequency (%) 
395840.4%
 
4047< 0.1%
 
4151< 0.1%
 
4264< 0.1%
 
4347< 0.1%
 
ValueCountFrequency (%) 
598.75780.4%
 
5989< 0.1%
 
5973< 0.1%
 
5965< 0.1%
 
5953< 0.1%
 

heart_rate_apache
Real number (ℝ≥0)

Distinct count149
Unique (%)0.1%
Missing309
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean99.85452991189699
Minimum30.0
Maximum178.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:56.580365image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile47
Q187
median104
Q3120
95-th percentile146
Maximum178
Range148
Interquartile range (IQR)33

Descriptive statistics

Standard deviation30.75950531
Coefficient of variation (CV)0.3080431638
Kurtosis-0.4470474793
Mean99.85452991
Median Absolute Deviation (MAD)16
Skewness-0.2699468857
Sum12965911
Variance946.1471672
2021-01-30T16:52:56.710033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10026092.0%
 
10225091.9%
 
10824641.9%
 
10424261.9%
 
10623911.8%
 
9823471.8%
 
11023451.8%
 
11222971.8%
 
9622731.7%
 
6022641.7%
 
Other values (139)10592381.4%
 
ValueCountFrequency (%) 
307450.6%
 
31970.1%
 
321290.1%
 
331090.1%
 
341440.1%
 
ValueCountFrequency (%) 
1786270.5%
 
17749< 0.1%
 
17651< 0.1%
 
175660.1%
 
174790.1%
 

hematocrit_apache
Real number (ℝ≥0)

MISSING

Distinct count353
Unique (%)0.3%
Missing26758
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean32.97581698082187
Minimum16.2
Maximum51.4
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:56.859352image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum16.2
5-th percentile21.7
Q128
median33.1
Q337.9
95-th percentile43.8
Maximum51.4
Range35.2
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation6.834576364
Coefficient of variation (CV)0.2072602589
Kurtosis-0.3445734369
Mean32.97581698
Median Absolute Deviation (MAD)4.9
Skewness0.006664431858
Sum3409666.5
Variance46.71143407
2021-01-30T16:52:57.043366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
349500.7%
 
369490.7%
 
359430.7%
 
339230.7%
 
328960.7%
 
318530.7%
 
378370.6%
 
298340.6%
 
308160.6%
 
288110.6%
 
Other values (343)9458772.7%
 
(Missing)2675820.6%
 
ValueCountFrequency (%) 
16.25430.4%
 
16.325< 0.1%
 
16.426< 0.1%
 
16.529< 0.1%
 
16.613< 0.1%
 
ValueCountFrequency (%) 
51.45090.4%
 
51.320< 0.1%
 
51.216< 0.1%
 
51.118< 0.1%
 
5134< 0.1%
 

intubated_apache
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
109771
1
 
20386
ValueCountFrequency (%) 
010977184.3%
 
12038615.7%
 

map_apache
Real number (ℝ≥0)

Distinct count172
Unique (%)0.1%
Missing420
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean87.19304631677933
Minimum40.0
Maximum200.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:57.192855image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile42
Q154
median66
Q3124
95-th percentile164
Maximum200
Range160
Interquartile range (IQR)70

Descriptive statistics

Standard deviation41.90810855
Coefficient of variation (CV)0.480635903
Kurtosis-0.7248682927
Mean87.19304632
Median Absolute Deviation (MAD)20
Skewness0.7417683242
Sum11312164.25
Variance1756.289562
2021-01-30T16:52:57.330858image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5630312.3%
 
5429222.2%
 
5829052.2%
 
5328012.2%
 
5528002.2%
 
6027952.1%
 
4027532.1%
 
5727212.1%
 
5227092.1%
 
5926842.1%
 
Other values (162)10161678.1%
 
ValueCountFrequency (%) 
4027532.1%
 
4121151.6%
 
4220641.6%
 
42.661< 0.1%
 
4319271.5%
 
ValueCountFrequency (%) 
2002020.2%
 
1991790.1%
 
1981480.1%
 
1971690.1%
 
1961650.1%
 

paco2_apache
Real number (ℝ≥0)

MISSING

Distinct count731
Unique (%)2.4%
Missing99720
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean42.161246180635416
Minimum18.0
Maximum95.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:57.490415image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile26.28
Q134.5
median40
Q347
95-th percentile67
Maximum95
Range77
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation12.26741435
Coefficient of variation (CV)0.2909642258
Kurtosis3.115304614
Mean42.16124618
Median Absolute Deviation (MAD)6
Skewness1.387204557
Sum1283261.85
Variance150.4894549
2021-01-30T16:52:57.619708image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
388210.6%
 
418110.6%
 
407900.6%
 
397640.6%
 
427560.6%
 
377550.6%
 
437090.5%
 
357080.5%
 
366840.5%
 
446210.5%
 
Other values (721)2301817.7%
 
(Missing)9972076.6%
 
ValueCountFrequency (%) 
181760.1%
 
18.11< 0.1%
 
18.23< 0.1%
 
18.33< 0.1%
 
18.41< 0.1%
 
ValueCountFrequency (%) 
951520.1%
 
94.91< 0.1%
 
94.51< 0.1%
 
94.41< 0.1%
 
94.31< 0.1%
 

paco2_for_ph_apache
Real number (ℝ≥0)

MISSING

Distinct count731
Unique (%)2.4%
Missing99720
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean42.161246180635416
Minimum18.0
Maximum95.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:57.785193image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile26.28
Q134.5
median40
Q347
95-th percentile67
Maximum95
Range77
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation12.26741435
Coefficient of variation (CV)0.2909642258
Kurtosis3.115304614
Mean42.16124618
Median Absolute Deviation (MAD)6
Skewness1.387204557
Sum1283261.85
Variance150.4894549
2021-01-30T16:52:57.924741image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
388210.6%
 
418110.6%
 
407900.6%
 
397640.6%
 
427560.6%
 
377550.6%
 
437090.5%
 
357080.5%
 
366840.5%
 
446210.5%
 
Other values (721)2301817.7%
 
(Missing)9972076.6%
 
ValueCountFrequency (%) 
181760.1%
 
18.11< 0.1%
 
18.23< 0.1%
 
18.33< 0.1%
 
18.41< 0.1%
 
ValueCountFrequency (%) 
951520.1%
 
94.91< 0.1%
 
94.51< 0.1%
 
94.41< 0.1%
 
94.31< 0.1%
 

pao2_apache
Real number (ℝ≥0)

MISSING

Distinct count2043
Unique (%)6.7%
Missing99720
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean132.0617373591353
Minimum31.0
Maximum498.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:58.078884image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile54
Q177
median104
Q3156
95-th percentile321
Maximum498
Range467
Interquartile range (IQR)79

Descriptive statistics

Standard deviation84.95882627
Coefficient of variation (CV)0.6433265832
Kurtosis4.177403696
Mean132.0617374
Median Absolute Deviation (MAD)33
Skewness1.967434933
Sum4019563.1
Variance7218.002161
2021-01-30T16:52:58.206469image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
763030.2%
 
782930.2%
 
752820.2%
 
802750.2%
 
712740.2%
 
742730.2%
 
822730.2%
 
732720.2%
 
722710.2%
 
692700.2%
 
Other values (2033)2765121.2%
 
(Missing)9972076.6%
 
ValueCountFrequency (%) 
311620.1%
 
31.11< 0.1%
 
31.41< 0.1%
 
31.72< 0.1%
 
31.91< 0.1%
 
ValueCountFrequency (%) 
4981490.1%
 
497.21< 0.1%
 
4973< 0.1%
 
4965< 0.1%
 
495.71< 0.1%
 

ph_apache
Real number (ℝ≥0)

MISSING

Distinct count576
Unique (%)1.9%
Missing99720
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean7.352154320070966
Minimum6.96054
Maximum7.59
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:58.334235image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.96054
5-th percentile7.174
Q17.301
median7.36
Q37.414
95-th percentile7.491
Maximum7.59
Range0.62946
Interquartile range (IQR)0.113

Descriptive statistics

Standard deviation0.0984232349
Coefficient of variation (CV)0.01338699252
Kurtosis1.893855125
Mean7.35215432
Median Absolute Deviation (MAD)0.056
Skewness-0.8611647205
Sum223777.521
Variance0.009687133168
2021-01-30T16:52:58.480047image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.3610330.8%
 
7.3810270.8%
 
7.3710040.8%
 
7.359870.8%
 
7.349760.7%
 
7.49600.7%
 
7.339230.7%
 
7.399170.7%
 
7.328550.7%
 
7.418540.7%
 
Other values (566)2090116.1%
 
(Missing)9972076.6%
 
ValueCountFrequency (%) 
6.960541760.1%
 
6.9634< 0.1%
 
6.9661< 0.1%
 
6.9718< 0.1%
 
6.9711< 0.1%
 
ValueCountFrequency (%) 
7.591430.1%
 
7.5882< 0.1%
 
7.5865< 0.1%
 
7.5841< 0.1%
 
7.5831< 0.1%
 

resprate_apache
Real number (ℝ≥0)

Distinct count77
Unique (%)0.1%
Missing808
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean25.15060263318619
Minimum4.0
Maximum60.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:58.634917image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q111
median27
Q336
95-th percentile52
Maximum60
Range56
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.02472982
Coefficient of variation (CV)0.5973904498
Kurtosis-0.903088457
Mean25.15060263
Median Absolute Deviation (MAD)14
Skewness0.312570615
Sum3253205.3
Variance225.7425062
2021-01-30T16:52:58.774821image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1066505.1%
 
1263684.9%
 
1159734.6%
 
952984.1%
 
451794.0%
 
846303.6%
 
2844923.5%
 
3044653.4%
 
2942213.2%
 
3138923.0%
 
Other values (67)7818160.1%
 
ValueCountFrequency (%) 
451794.0%
 
530202.3%
 
5.92< 0.1%
 
631042.4%
 
6.21< 0.1%
 
ValueCountFrequency (%) 
6012611.0%
 
598640.7%
 
586930.5%
 
576710.5%
 
566900.5%
 

sodium_apache
Real number (ℝ≥0)

MISSING

Distinct count119
Unique (%)0.1%
Missing24519
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean137.94526022832693
Minimum117.0
Maximum158.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:58.914455image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile129
Q1135
median138
Q3141
95-th percentile146
Maximum158
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.303839987
Coefficient of variation (CV)0.03844887442
Kurtosis2.864533276
Mean137.9452602
Median Absolute Deviation (MAD)3
Skewness-0.2535166362
Sum14572261.4
Variance28.13071861
2021-01-30T16:52:59.039748image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
139107168.2%
 
138106998.2%
 
14098537.6%
 
13797197.5%
 
13685116.5%
 
14180496.2%
 
13566615.1%
 
14262654.8%
 
13453744.1%
 
14341253.2%
 
Other values (109)2566619.7%
 
(Missing)2451918.8%
 
ValueCountFrequency (%) 
1176620.5%
 
118930.1%
 
1191220.1%
 
1201270.1%
 
120.41< 0.1%
 
ValueCountFrequency (%) 
1584740.4%
 
157840.1%
 
156960.1%
 
1551460.1%
 
1541530.1%
 

temp_apache
Real number (ℝ≥0)

MISSING

Distinct count207
Unique (%)0.2%
Missing6611
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean36.42063806193644
Minimum32.1
Maximum39.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:59.181192image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum32.1
5-th percentile35.2
Q136.2
median36.5
Q336.7
95-th percentile37.3
Maximum39.7
Range7.6
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.8575843378
Coefficient of variation (CV)0.0235466588
Kurtosis8.54961244
Mean36.42063806
Median Absolute Deviation (MAD)0.3
Skewness-0.979678418
Sum4499624.15
Variance0.7354508964
2021-01-30T16:52:59.312774image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
36.41311810.1%
 
36.6120509.3%
 
36.7115168.8%
 
36.391397.0%
 
36.588136.8%
 
36.882846.4%
 
36.264134.9%
 
36.160074.6%
 
36.955034.2%
 
3643223.3%
 
Other values (197)3838129.5%
 
(Missing)66115.1%
 
ValueCountFrequency (%) 
32.17890.6%
 
32.161< 0.1%
 
32.2930.1%
 
32.221< 0.1%
 
32.271< 0.1%
 
ValueCountFrequency (%) 
39.75660.4%
 
39.664< 0.1%
 
39.617< 0.1%
 
39.61530.1%
 
39.559< 0.1%
 

urineoutput_apache
Real number (ℝ≥0)

MISSING

Distinct count32958
Unique (%)49.2%
Missing63167
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean1800.8034172073442
Minimum0.0
Maximum8716.669632
Zeros1279
Zeros (%)1.0%
Memory size1016.9 KiB
2021-01-30T16:52:59.721119image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile127.6128
Q1799.0488
median1454.976
Q32415.096
95-th percentile4629.77856
Maximum8716.669632
Range8716.669632
Interquartile range (IQR)1616.0472

Descriptive statistics

Standard deviation1456.551481
Coefficient of variation (CV)0.8088342498
Kurtosis3.876923318
Mean1800.803417
Median Absolute Deviation (MAD)762.9984
Skewness1.662608552
Sum120635820.9
Variance2121542.217
2021-01-30T16:52:59.851058image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
012791.0%
 
8716.6696323350.3%
 
1799.971246< 0.1%
 
899.942435< 0.1%
 
2399.932832< 0.1%
 
1439.942431< 0.1%
 
2117.577625< 0.1%
 
2879.971225< 0.1%
 
1107.64825< 0.1%
 
1199.923225< 0.1%
 
Other values (32948)6513250.0%
 
(Missing)6316748.5%
 
ValueCountFrequency (%) 
012791.0%
 
0.69124< 0.1%
 
0.777615< 0.1%
 
0.86411< 0.1%
 
0.95047< 0.1%
 
ValueCountFrequency (%) 
8716.6696323350.3%
 
8715.1681< 0.1%
 
8708.6881< 0.1%
 
8698.83841< 0.1%
 
8696.33281< 0.1%
 

ventilated_apache
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
87149
1
43008
ValueCountFrequency (%) 
08714967.0%
 
14300833.0%
 

wbc_apache
Real number (ℝ≥0)

MISSING

Distinct count3124
Unique (%)3.1%
Missing29475
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean12.187662144176715
Minimum0.9
Maximum45.8
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:52:59.987002image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile4.3
Q17.5
median10.47
Q315.3
95-th percentile25.1
Maximum45.8
Range44.9
Interquartile range (IQR)7.8

Descriptive statistics

Standard deviation6.931023209
Coefficient of variation (CV)0.5686917743
Kurtosis4.115657918
Mean12.18766214
Median Absolute Deviation (MAD)3.57
Skewness1.64838495
Sum1227078.2
Variance48.03908273
2021-01-30T16:53:00.115419image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.48150.6%
 
88080.6%
 
7.48060.6%
 
7.88010.6%
 
7.97930.6%
 
7.67870.6%
 
8.87840.6%
 
8.27730.6%
 
77660.6%
 
8.67640.6%
 
Other values (3114)9278571.3%
 
(Missing)2947522.6%
 
ValueCountFrequency (%) 
0.95350.4%
 
0.921< 0.1%
 
0.931< 0.1%
 
0.941< 0.1%
 
0.951< 0.1%
 
ValueCountFrequency (%) 
45.85000.4%
 
45.76< 0.1%
 
45.682< 0.1%
 
45.62< 0.1%
 
45.53< 0.1%
 

d1_diasbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count145
Unique (%)0.4%
Missing95068
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean79.26156345293397
Minimum37.0
Maximum181.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:00.248812image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile52
Q165
median76
Q388
95-th percentile119
Maximum181
Range144
Interquartile range (IQR)23

Descriptive statistics

Standard deviation21.69331995
Coefficient of variation (CV)0.273692809
Kurtosis4.021616786
Mean79.26156345
Median Absolute Deviation (MAD)11
Skewness1.519165487
Sum2781209
Variance470.6001303
2021-01-30T16:53:00.375329image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
749930.8%
 
769420.7%
 
709290.7%
 
789240.7%
 
689200.7%
 
729190.7%
 
668880.7%
 
808170.6%
 
678040.6%
 
737890.6%
 
Other values (135)2616420.1%
 
(Missing)9506873.0%
 
ValueCountFrequency (%) 
371930.1%
 
3831< 0.1%
 
3928< 0.1%
 
4043< 0.1%
 
4137< 0.1%
 
ValueCountFrequency (%) 
1811710.1%
 
1806< 0.1%
 
17910< 0.1%
 
17820< 0.1%
 
17710< 0.1%
 

d1_diasbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count85
Unique (%)0.2%
Missing95068
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean46.96970560574539
Minimum5.0
Maximum89.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:00.515277image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile28
Q140
median46
Q354
95-th percentile69
Maximum89
Range84
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.73643337
Coefficient of variation (CV)0.2711627251
Kurtosis1.244318488
Mean46.96970561
Median Absolute Deviation (MAD)7
Skewness0.134050839
Sum1648120
Variance162.216735
2021-01-30T16:53:00.625560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4415351.2%
 
4615201.2%
 
4213891.1%
 
4813751.1%
 
5012971.0%
 
4012891.0%
 
4312421.0%
 
4511920.9%
 
4711600.9%
 
3810810.8%
 
Other values (75)2200916.9%
 
(Missing)9506873.0%
 
ValueCountFrequency (%) 
52100.2%
 
627< 0.1%
 
729< 0.1%
 
828< 0.1%
 
925< 0.1%
 
ValueCountFrequency (%) 
891670.1%
 
8821< 0.1%
 
8715< 0.1%
 
8633< 0.1%
 
8523< 0.1%
 

d1_diasbp_max
Real number (ℝ≥0)

Distinct count120
Unique (%)0.1%
Missing277
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean88.57551586079458
Minimum46.0
Maximum165.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:00.748910image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile60
Q175
median86
Q399
95-th percentile125
Maximum165
Range119
Interquartile range (IQR)24

Descriptive statistics

Standard deviation20.16279981
Coefficient of variation (CV)0.2276340094
Kurtosis1.189379773
Mean88.57551586
Median Absolute Deviation (MAD)12
Skewness0.7961917972
Sum11504188
Variance406.5384961
2021-01-30T16:53:00.872369image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8429332.3%
 
8029272.2%
 
8228812.2%
 
8328692.2%
 
8828692.2%
 
8628642.2%
 
8528102.2%
 
8727962.1%
 
9027932.1%
 
7927722.1%
 
Other values (110)10136677.9%
 
ValueCountFrequency (%) 
467730.6%
 
471360.1%
 
482010.2%
 
491780.1%
 
502660.2%
 
ValueCountFrequency (%) 
1656260.5%
 
16442< 0.1%
 
16335< 0.1%
 
16252< 0.1%
 
16141< 0.1%
 

d1_diasbp_min
Real number (ℝ≥0)

Distinct count78
Unique (%)0.1%
Missing277
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean49.862988912842624
Minimum13.0
Maximum90.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:01.006250image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile28
Q141
median50
Q358
95-th percentile73
Maximum90
Range77
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.39715194
Coefficient of variation (CV)0.2686792796
Kurtosis0.3350671508
Mean49.86298891
Median Absolute Deviation (MAD)8
Skewness0.08499757714
Sum6476205
Variance179.4836801
2021-01-30T16:53:01.142182image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5049823.8%
 
5144113.4%
 
5240953.1%
 
5540083.1%
 
4639973.1%
 
5339823.1%
 
4939813.1%
 
4739553.0%
 
4839253.0%
 
5438322.9%
 
Other values (68)8871268.2%
 
ValueCountFrequency (%) 
138070.6%
 
141880.1%
 
151900.1%
 
162030.2%
 
172300.2%
 
ValueCountFrequency (%) 
906150.5%
 
89990.1%
 
881250.1%
 
871270.1%
 
861280.1%
 

d1_diasbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count120
Unique (%)0.1%
Missing1636
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean88.7293438426405
Minimum46.0
Maximum165.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:01.299803image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile60
Q175
median87
Q399
95-th percentile126
Maximum165
Range119
Interquartile range (IQR)24

Descriptive statistics

Standard deviation20.15570078
Coefficient of variation (CV)0.2271593579
Kurtosis1.188451243
Mean88.72934384
Median Absolute Deviation (MAD)12
Skewness0.7953724448
Sum11403584
Variance406.2522738
2021-01-30T16:53:01.423867image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8429102.2%
 
8028852.2%
 
8328552.2%
 
8228492.2%
 
8828452.2%
 
8628262.2%
 
8527912.1%
 
8727862.1%
 
9027742.1%
 
7927612.1%
 
Other values (110)10023977.0%
 
ValueCountFrequency (%) 
467450.6%
 
471360.1%
 
481900.1%
 
491690.1%
 
502540.2%
 
ValueCountFrequency (%) 
1656260.5%
 
16443< 0.1%
 
16335< 0.1%
 
16252< 0.1%
 
16141< 0.1%
 

d1_diasbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count78
Unique (%)0.1%
Missing1636
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean49.91749208300589
Minimum13.0
Maximum90.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:01.565380image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile28
Q141
median50
Q358
95-th percentile73
Maximum90
Range77
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.42774554
Coefficient of variation (CV)0.2689988013
Kurtosis0.3266693026
Mean49.91749208
Median Absolute Deviation (MAD)8
Skewness0.07792563823
Sum6415446
Variance180.3043502
2021-01-30T16:53:01.696602image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5049213.8%
 
5143543.3%
 
5240533.1%
 
5539813.1%
 
5339653.0%
 
4939463.0%
 
4739093.0%
 
4638993.0%
 
4838553.0%
 
5437852.9%
 
Other values (68)8785367.5%
 
ValueCountFrequency (%) 
138040.6%
 
141880.1%
 
151900.1%
 
162010.2%
 
172310.2%
 
ValueCountFrequency (%) 
906160.5%
 
89980.1%
 
881230.1%
 
871260.1%
 
861270.1%
 

d1_heartrate_max
Real number (ℝ≥0)

Distinct count120
Unique (%)0.1%
Missing262
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean103.29679356403248
Minimum58.0
Maximum177.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:01.841693image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile71
Q188
median101
Q3117
95-th percentile143
Maximum177
Range119
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.98294032
Coefficient of variation (CV)0.2128133852
Kurtosis0.3144686425
Mean103.2967936
Median Absolute Deviation (MAD)14
Skewness0.5656746753
Sum13417737
Variance483.2496652
2021-01-30T16:53:01.966763image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10027972.1%
 
9627782.1%
 
9826852.1%
 
9226622.0%
 
9026362.0%
 
9425402.0%
 
10225051.9%
 
8825021.9%
 
10424341.9%
 
10624111.9%
 
Other values (110)10394579.9%
 
ValueCountFrequency (%) 
588230.6%
 
591470.1%
 
602950.2%
 
612230.2%
 
623010.2%
 
ValueCountFrequency (%) 
1776210.5%
 
17640< 0.1%
 
17551< 0.1%
 
17451< 0.1%
 
17344< 0.1%
 

d1_heartrate_min
Real number (ℝ≥0)

Distinct count156
Unique (%)0.1%
Missing262
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean70.40852996651141
Minimum0.0
Maximum175.0
Zeros901
Zeros (%)0.7%
Memory size1016.9 KiB
2021-01-30T16:53:02.102561image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q160
median70
Q381
95-th percentile99
Maximum175
Range175
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.14187504
Coefficient of variation (CV)0.2434630442
Kurtosis1.888413928
Mean70.40852997
Median Absolute Deviation (MAD)10
Skewness-0.1299700516
Sum9145716
Variance293.84388
2021-01-30T16:53:02.236515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6046073.5%
 
7040483.1%
 
6836252.8%
 
6235212.7%
 
6634462.6%
 
6434432.6%
 
7233492.6%
 
7431812.4%
 
6531552.4%
 
5830682.4%
 
Other values (146)9445272.6%
 
ValueCountFrequency (%) 
09010.7%
 
112< 0.1%
 
23< 0.1%
 
36< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
1751< 0.1%
 
1601< 0.1%
 
1551< 0.1%
 
1531< 0.1%
 
1521< 0.1%
 

d1_mbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count285
Unique (%)0.8%
Missing94868
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean114.43276941823231
Minimum38.0
Maximum322.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:02.376392image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile73
Q189
median101
Q3118
95-th percentile246
Maximum322
Range284
Interquartile range (IQR)29

Descriptive statistics

Standard deviation49.1827436
Coefficient of variation (CV)0.4297959741
Kurtosis5.993578224
Mean114.4327694
Median Absolute Deviation (MAD)14
Skewness2.430286316
Sum4038218
Variance2418.942268
2021-01-30T16:53:02.499697image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
968300.6%
 
948020.6%
 
927900.6%
 
1007780.6%
 
987630.6%
 
1027480.6%
 
907250.6%
 
887020.5%
 
937020.5%
 
1047010.5%
 
Other values (275)2774821.3%
 
(Missing)9486872.9%
 
ValueCountFrequency (%) 
381910.1%
 
393< 0.1%
 
406< 0.1%
 
412< 0.1%
 
424< 0.1%
 
ValueCountFrequency (%) 
3221690.1%
 
32113< 0.1%
 
32013< 0.1%
 
31914< 0.1%
 
31821< 0.1%
 

d1_mbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count118
Unique (%)0.3%
Missing94868
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean62.2115956813738
Minimum2.0
Maximum119.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:02.633732image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile32
Q154
median62
Q371
95-th percentile91
Maximum119
Range117
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.84544167
Coefficient of variation (CV)0.2868507306
Kurtosis2.127021218
Mean62.21159568
Median Absolute Deviation (MAD)9
Skewness-0.3703366843
Sum2195385
Variance318.4597885
2021-01-30T16:53:02.754131image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6013321.0%
 
6212791.0%
 
5812441.0%
 
6412070.9%
 
5611490.9%
 
5911300.9%
 
6111130.9%
 
6610210.8%
 
6310210.8%
 
5710120.8%
 
Other values (108)2378118.3%
 
(Missing)9486872.9%
 
ValueCountFrequency (%) 
22520.2%
 
3760.1%
 
4690.1%
 
558< 0.1%
 
654< 0.1%
 
ValueCountFrequency (%) 
1191720.1%
 
11814< 0.1%
 
11714< 0.1%
 
11616< 0.1%
 
11518< 0.1%
 

d1_mbp_max
Real number (ℝ≥0)

Distinct count158
Unique (%)0.1%
Missing327
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean104.22852191327891
Minimum60.0
Maximum184.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:02.889670image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile75
Q190
median102
Q3116
95-th percentile142
Maximum184
Range124
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.91021332
Coefficient of variation (CV)0.2006189183
Kurtosis1.147354068
Mean104.2285219
Median Absolute Deviation (MAD)13
Skewness0.7971966406
Sum13531989
Variance437.237021
2021-01-30T16:53:03.013943image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9829132.2%
 
10028602.2%
 
9628482.2%
 
10427952.1%
 
9727942.1%
 
9427832.1%
 
10327722.1%
 
10227672.1%
 
9527192.1%
 
10127042.1%
 
Other values (148)10187578.3%
 
ValueCountFrequency (%) 
607580.6%
 
611340.1%
 
621520.1%
 
632020.2%
 
642090.2%
 
ValueCountFrequency (%) 
1846400.5%
 
18332< 0.1%
 
18229< 0.1%
 
18140< 0.1%
 
18043< 0.1%
 

d1_mbp_min
Real number (ℝ≥0)

Distinct count128
Unique (%)0.1%
Missing327
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean64.35346221984904
Minimum22.0
Maximum112.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:03.147784image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile40
Q154
median64
Q374
95-th percentile91
Maximum112
Range90
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.43309204
Coefficient of variation (CV)0.2398175873
Kurtosis0.4074558706
Mean64.35346222
Median Absolute Deviation (MAD)10
Skewness0.1908741394
Sum8355010
Variance238.18033
2021-01-30T16:53:03.275328image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6037962.9%
 
6137882.9%
 
5937082.8%
 
6336862.8%
 
6436802.8%
 
6236662.8%
 
6536552.8%
 
5835362.7%
 
6735282.7%
 
5634252.6%
 
Other values (118)9336271.7%
 
ValueCountFrequency (%) 
227880.6%
 
231470.1%
 
241540.1%
 
251610.1%
 
261830.1%
 
ValueCountFrequency (%) 
1125980.5%
 
111890.1%
 
110940.1%
 
109960.1%
 
1081140.1%
 

d1_mbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count155
Unique (%)0.1%
Missing2228
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean104.1839692329417
Minimum60.0
Maximum181.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:03.400154image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile75
Q190
median102
Q3116
95-th percentile142
Maximum181
Range121
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.80250907
Coefficient of variation (CV)0.1996709208
Kurtosis0.9593160995
Mean104.1839692
Median Absolute Deviation (MAD)13
Skewness0.7479728915
Sum13328151
Variance432.7443836
2021-01-30T16:53:03.521631image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9828492.2%
 
10027982.1%
 
9627962.1%
 
9727482.1%
 
10427472.1%
 
10327472.1%
 
9427142.1%
 
10226972.1%
 
9526752.1%
 
10126692.1%
 
Other values (145)10048977.2%
 
ValueCountFrequency (%) 
607730.6%
 
611300.1%
 
621510.1%
 
632030.2%
 
642060.2%
 
ValueCountFrequency (%) 
1816350.5%
 
18041< 0.1%
 
17933< 0.1%
 
17855< 0.1%
 
17741< 0.1%
 

d1_mbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count128
Unique (%)0.1%
Missing2228
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean64.38411149937075
Minimum22.0
Maximum112.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:03.655485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile40
Q154
median64
Q374
95-th percentile91
Maximum112
Range90
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.45859245
Coefficient of variation (CV)0.2400994917
Kurtosis0.3874625188
Mean64.3841115
Median Absolute Deviation (MAD)10
Skewness0.184979897
Sum8236595
Variance238.9680804
2021-01-30T16:53:03.780935image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6137132.9%
 
6036742.8%
 
5936292.8%
 
6336272.8%
 
6536092.8%
 
6435872.8%
 
6235682.7%
 
6734892.7%
 
5834332.6%
 
6633562.6%
 
Other values (118)9224470.9%
 
ValueCountFrequency (%) 
227560.6%
 
231470.1%
 
241560.1%
 
251600.1%
 
261830.1%
 
ValueCountFrequency (%) 
1125830.4%
 
111880.1%
 
110870.1%
 
109950.1%
 
1081150.1%
 

d1_resprate_max
Real number (ℝ≥0)

Distinct count79
Unique (%)0.1%
Missing683
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean28.71938767629022
Minimum14.0
Maximum92.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:03.912058image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q122
median26
Q332
95-th percentile47
Maximum92
Range78
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.56786567
Coefficient of variation (CV)0.367969742
Kurtosis9.813401094
Mean28.71938768
Median Absolute Deviation (MAD)4
Skewness2.527913598
Sum3718414
Variance111.6797849
2021-01-30T16:53:04.042354image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2490266.9%
 
2282016.3%
 
2577235.9%
 
2376185.9%
 
2676065.8%
 
2075795.8%
 
2869975.4%
 
2765035.0%
 
2162044.8%
 
3056234.3%
 
Other values (69)5639443.3%
 
ValueCountFrequency (%) 
1412060.9%
 
156710.5%
 
1614881.1%
 
1716301.3%
 
1837572.9%
 
ValueCountFrequency (%) 
926420.5%
 
9128< 0.1%
 
9028< 0.1%
 
8925< 0.1%
 
8835< 0.1%
 

d1_resprate_min
Real number (ℝ≥0)

ZEROS

Distinct count55
Unique (%)< 0.1%
Missing683
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean12.69084140445186
Minimum0.0
Maximum100.0
Zeros5868
Zeros (%)4.5%
Memory size1016.9 KiB
2021-01-30T16:53:04.196290image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median13
Q316
95-th percentile20
Maximum100
Range100
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.046519209
Coefficient of variation (CV)0.3976504826
Kurtosis3.422084237
Mean12.6908414
Median Absolute Deviation (MAD)3
Skewness0.04003605303
Sum1643134
Variance25.46735613
2021-01-30T16:53:04.325499image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
121558912.0%
 
14129359.9%
 
13109618.4%
 
10107768.3%
 
11106288.2%
 
16104218.0%
 
1593857.2%
 
966095.1%
 
058684.5%
 
1856604.3%
 
Other values (45)3064223.5%
 
ValueCountFrequency (%) 
058684.5%
 
12930.2%
 
23960.3%
 
34590.4%
 
47700.6%
 
ValueCountFrequency (%) 
1001< 0.1%
 
961< 0.1%
 
721< 0.1%
 
691< 0.1%
 
661< 0.1%
 

d1_spo2_max
Real number (ℝ≥0)

Distinct count47
Unique (%)< 0.1%
Missing532
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean99.27610414657666
Minimum0.0
Maximum100.0
Zeros7
Zeros (%)< 0.1%
Memory size1016.9 KiB
2021-01-30T16:53:04.457131image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile97
Q199
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.722287279
Coefficient of variation (CV)0.01734845756
Kurtosis834.0978769
Mean99.27610415
Median Absolute Deviation (MAD)0
Skewness-18.21490652
Sum12868665
Variance2.966273472
2021-01-30T16:53:04.579845image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1008725767.0%
 
991825214.0%
 
98117059.0%
 
9763004.8%
 
9632572.5%
 
9514251.1%
 
946220.5%
 
933040.2%
 
921700.1%
 
91720.1%
 
Other values (37)2610.2%
 
(Missing)5320.4%
 
ValueCountFrequency (%) 
07< 0.1%
 
131< 0.1%
 
162< 0.1%
 
261< 0.1%
 
311< 0.1%
 
ValueCountFrequency (%) 
1008725767.0%
 
991825214.0%
 
98117059.0%
 
9763004.8%
 
9632572.5%
 

d1_spo2_min
Real number (ℝ≥0)

Distinct count101
Unique (%)0.1%
Missing532
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean90.36608678881389
Minimum0.0
Maximum100.0
Zeros194
Zeros (%)0.1%
Memory size1016.9 KiB
2021-01-30T16:53:04.719575image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q189
median93
Q395
95-th percentile98
Maximum100
Range100
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.15034855
Coefficient of variation (CV)0.1123247549
Kurtosis29.54456761
Mean90.36608679
Median Absolute Deviation (MAD)3
Skewness-4.614983419
Sum11713704
Variance103.0295757
2021-01-30T16:53:04.845589image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
94123439.5%
 
93123029.5%
 
92121599.3%
 
95114618.8%
 
9199837.7%
 
9696267.4%
 
9089406.9%
 
9776775.9%
 
8956084.3%
 
9854224.2%
 
Other values (91)3410426.2%
 
ValueCountFrequency (%) 
01940.1%
 
120< 0.1%
 
243< 0.1%
 
319< 0.1%
 
415< 0.1%
 
ValueCountFrequency (%) 
10028892.2%
 
9932642.5%
 
9854224.2%
 
9776775.9%
 
9696267.4%
 

d1_sysbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count225
Unique (%)0.6%
Missing95038
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean153.28537259033573
Minimum71.0
Maximum295.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:04.979195image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile109
Q1133
median150
Q3169
95-th percentile205
Maximum295
Range224
Interquartile range (IQR)36

Descriptive statistics

Standard deviation31.48281808
Coefficient of variation (CV)0.2053869691
Kurtosis3.024132282
Mean153.2853726
Median Absolute Deviation (MAD)18
Skewness1.013760578
Sum5383229
Variance991.167834
2021-01-30T16:53:05.104887image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1506000.5%
 
1445910.5%
 
1485850.4%
 
1545730.4%
 
1565700.4%
 
1525640.4%
 
1465580.4%
 
1405510.4%
 
1585460.4%
 
1385440.4%
 
Other values (215)2943722.6%
 
(Missing)9503873.0%
 
ValueCountFrequency (%) 
711890.1%
 
727< 0.1%
 
735< 0.1%
 
7410< 0.1%
 
757< 0.1%
 
ValueCountFrequency (%) 
2951690.1%
 
2948< 0.1%
 
2935< 0.1%
 
2924< 0.1%
 
2912< 0.1%
 

d1_sysbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count163
Unique (%)0.5%
Missing95038
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean93.63760357641164
Minimum10.0
Maximum172.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:05.240520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile56.9
Q180
median92
Q3107
95-th percentile136
Maximum172
Range162
Interquartile range (IQR)27

Descriptive statistics

Standard deviation24.59610799
Coefficient of variation (CV)0.2626734031
Kurtosis1.408516653
Mean93.63760358
Median Absolute Deviation (MAD)13
Skewness0.01836749879
Sum3288459
Variance604.9685284
2021-01-30T16:53:05.673439image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
868600.7%
 
928470.7%
 
888410.6%
 
908410.6%
 
847670.6%
 
917600.6%
 
947520.6%
 
827460.6%
 
897400.6%
 
807130.5%
 
Other values (153)2725220.9%
 
(Missing)9503873.0%
 
ValueCountFrequency (%) 
101950.1%
 
1115< 0.1%
 
1218< 0.1%
 
1319< 0.1%
 
1413< 0.1%
 
ValueCountFrequency (%) 
1721740.1%
 
17115< 0.1%
 
17013< 0.1%
 
1695< 0.1%
 
1688< 0.1%
 

d1_sysbp_max
Real number (ℝ≥0)

Distinct count143
Unique (%)0.1%
Missing271
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean148.23168008869317
Minimum90.0
Maximum232.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:05.816309image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile110
Q1130
median146
Q3164
95-th percentile195
Maximum232
Range142
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.8971169
Coefficient of variation (CV)0.1747070321
Kurtosis0.2446741692
Mean148.2316801
Median Absolute Deviation (MAD)17
Skewness0.4911018809
Sum19253220
Variance670.6606635
2021-01-30T16:53:05.947769image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14022281.7%
 
13420951.6%
 
13820901.6%
 
14420841.6%
 
14220691.6%
 
13720671.6%
 
13520671.6%
 
13920571.6%
 
14620471.6%
 
13320431.6%
 
Other values (133)10903983.8%
 
ValueCountFrequency (%) 
906930.5%
 
91920.1%
 
921100.1%
 
931070.1%
 
941160.1%
 
ValueCountFrequency (%) 
2326400.5%
 
23146< 0.1%
 
23060< 0.1%
 
22945< 0.1%
 
22852< 0.1%
 

d1_sysbp_min
Real number (ℝ≥0)

Distinct count120
Unique (%)0.1%
Missing271
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean96.66964876892044
Minimum41.0
Maximum160.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:06.091577image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile64
Q183
median95
Q3109
95-th percentile133
Maximum160
Range119
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.67300417
Coefficient of variation (CV)0.2138520667
Kurtosis0.3097179744
Mean96.66964877
Median Absolute Deviation (MAD)13
Skewness0.2138952104
Sum12556034
Variance427.3731015
2021-01-30T16:53:06.216559image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9030532.3%
 
9130262.3%
 
9229382.3%
 
9428272.2%
 
9328212.2%
 
9627522.1%
 
9527512.1%
 
9726322.0%
 
9826052.0%
 
10025472.0%
 
Other values (110)10193478.3%
 
ValueCountFrequency (%) 
417290.6%
 
42710.1%
 
43970.1%
 
441080.1%
 
45930.1%
 
ValueCountFrequency (%) 
1606230.5%
 
15957< 0.1%
 
15864< 0.1%
 
15762< 0.1%
 
156730.1%
 

d1_sysbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count143
Unique (%)0.1%
Missing1623
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean148.14169013646196
Minimum90.0
Maximum232.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:06.353120image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile110
Q1130
median146
Q3164
95-th percentile195
Maximum232
Range142
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.93666547
Coefficient of variation (CV)0.1750801239
Kurtosis0.240735806
Mean148.1416901
Median Absolute Deviation (MAD)17
Skewness0.4907739514
Sum19041244
Variance672.7106155
2021-01-30T16:53:06.482466image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14021801.7%
 
13420671.6%
 
13720601.6%
 
14420571.6%
 
13820531.6%
 
13520511.6%
 
14220391.6%
 
13920361.6%
 
13320301.6%
 
14620251.6%
 
Other values (133)10793682.9%
 
ValueCountFrequency (%) 
907070.5%
 
91910.1%
 
921080.1%
 
931080.1%
 
941150.1%
 
ValueCountFrequency (%) 
2326270.5%
 
23146< 0.1%
 
23059< 0.1%
 
22944< 0.1%
 
22852< 0.1%
 

d1_sysbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count120
Unique (%)0.1%
Missing1623
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean96.69035687055565
Minimum41.03
Maximum160.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:06.619094image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum41.03
5-th percentile64
Q183
median96
Q3109
95-th percentile133
Maximum160
Range118.97
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.69256318
Coefficient of variation (CV)0.2140085511
Kurtosis0.3022508202
Mean96.69035687
Median Absolute Deviation (MAD)13
Skewness0.2128510072
Sum12427998.33
Variance428.182171
2021-01-30T16:53:06.747423image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9030192.3%
 
9130012.3%
 
9228922.2%
 
9427912.1%
 
9327842.1%
 
9527452.1%
 
9627102.1%
 
9726062.0%
 
9825752.0%
 
10025181.9%
 
Other values (110)10089377.5%
 
ValueCountFrequency (%) 
41.037110.5%
 
42710.1%
 
43970.1%
 
441100.1%
 
45920.1%
 
ValueCountFrequency (%) 
1606180.5%
 
15956< 0.1%
 
15864< 0.1%
 
15760< 0.1%
 
156720.1%
 

d1_temp_max
Real number (ℝ≥0)

MISSING

Distinct count261
Unique (%)0.2%
Missing4494
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean37.301433179041325
Minimum35.1
Maximum39.9
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:06.896680image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum35.1
5-th percentile36.4
Q136.9
median37.2
Q337.6
95-th percentile38.7
Maximum39.9
Range4.8
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.6994057991
Coefficient of variation (CV)0.01875010528
Kurtosis1.878789039
Mean37.30143318
Median Absolute Deviation (MAD)0.4
Skewness0.8374226468
Sum4687409.998
Variance0.4891684718
2021-01-30T16:53:07.027950image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
37.1113098.7%
 
36.9105608.1%
 
37.297787.5%
 
36.893267.2%
 
3787876.8%
 
37.371035.5%
 
36.766845.1%
 
37.461004.7%
 
37.647133.6%
 
37.742803.3%
 
Other values (251)4702336.1%
 
(Missing)44943.5%
 
ValueCountFrequency (%) 
35.17860.6%
 
35.1111< 0.1%
 
35.166666671< 0.1%
 
35.255< 0.1%
 
35.2781< 0.1%
 
ValueCountFrequency (%) 
39.95330.4%
 
39.892082< 0.1%
 
39.888888891< 0.1%
 
39.836522< 0.1%
 
39.831< 0.1%
 

d1_temp_min
Real number (ℝ≥0)

MISSING

Distinct count309
Unique (%)0.2%
Missing4494
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean36.26669701234253
Minimum31.889
Maximum37.8
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:07.173581image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum31.889
5-th percentile35
Q136.1
median36.4
Q336.7
95-th percentile37.1
Maximum37.8
Range5.911
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.7678153248
Coefficient of variation (CV)0.02117136073
Kurtosis11.88102986
Mean36.26669701
Median Absolute Deviation (MAD)0.3
Skewness-2.816516395
Sum4557381.947
Variance0.589540373
2021-01-30T16:53:07.309915image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
36.41482111.4%
 
36.6121039.3%
 
36.3109008.4%
 
36.7104528.0%
 
36.592157.1%
 
36.277556.0%
 
36.172435.6%
 
36.868605.3%
 
3653184.1%
 
36.942363.3%
 
Other values (299)3676028.2%
 
(Missing)44943.5%
 
ValueCountFrequency (%) 
31.8898320.6%
 
31.891441< 0.1%
 
31.960< 0.1%
 
31.9441< 0.1%
 
32730.1%
 
ValueCountFrequency (%) 
37.86010.5%
 
37.78081< 0.1%
 
37.773< 0.1%
 
37.725241< 0.1%
 
37.721< 0.1%
 

h1_diasbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count103
Unique (%)0.4%
Missing104829
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean68.52207043588123
Minimum33.0
Maximum135.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:07.444705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile46
Q158
median67
Q377
95-th percentile98
Maximum135
Range102
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.27097559
Coefficient of variation (CV)0.2374559829
Kurtosis1.554708191
Mean68.52207044
Median Absolute Deviation (MAD)10
Skewness0.8462360887
Sum1735527
Variance264.7446465
2021-01-30T16:53:07.575831image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
627960.6%
 
607670.6%
 
647550.6%
 
667490.6%
 
687460.6%
 
707240.6%
 
586970.5%
 
746420.5%
 
616410.5%
 
636400.5%
 
Other values (93)1817114.0%
 
(Missing)10482980.5%
 
ValueCountFrequency (%) 
331500.1%
 
3429< 0.1%
 
3529< 0.1%
 
3645< 0.1%
 
3742< 0.1%
 
ValueCountFrequency (%) 
1351230.1%
 
1345< 0.1%
 
1333< 0.1%
 
1324< 0.1%
 
13110< 0.1%
 

h1_diasbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count86
Unique (%)0.3%
Missing104829
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean56.65966519267214
Minimum19.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:07.709592image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile36
Q147
median55
Q365
95-th percentile82
Maximum104
Range85
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.24882289
Coefficient of variation (CV)0.2514808876
Kurtosis0.4882350588
Mean56.65966519
Median Absolute Deviation (MAD)9
Skewness0.4449065507
Sum1435076
Variance203.0289538
2021-01-30T16:53:07.836310image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
508910.7%
 
548540.7%
 
528420.6%
 
488080.6%
 
568080.6%
 
588000.6%
 
467300.6%
 
607090.5%
 
557020.5%
 
537000.5%
 
Other values (76)1748413.4%
 
(Missing)10482980.5%
 
ValueCountFrequency (%) 
191420.1%
 
2012< 0.1%
 
2114< 0.1%
 
2213< 0.1%
 
2321< 0.1%
 
ValueCountFrequency (%) 
1041230.1%
 
1038< 0.1%
 
10216< 0.1%
 
10117< 0.1%
 
10026< 0.1%
 

h1_diasbp_max
Real number (ℝ≥0)

MISSING

Distinct count107
Unique (%)0.1%
Missing5527
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean75.4260932359785
Minimum37.0
Maximum143.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:08.006915image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile49
Q162
median74
Q386
95-th percentile109
Maximum143
Range106
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.53974058
Coefficient of variation (CV)0.245800091
Kurtosis0.7846194569
Mean75.42609324
Median Absolute Deviation (MAD)12
Skewness0.6965866285
Sum9400354
Variance343.7219808
2021-01-30T16:53:08.145518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6830102.3%
 
7029362.3%
 
7429002.2%
 
7228582.2%
 
6628522.2%
 
6527792.1%
 
7127072.1%
 
6727062.1%
 
6926832.1%
 
6226732.1%
 
Other values (97)9652674.2%
 
(Missing)55274.2%
 
ValueCountFrequency (%) 
377850.6%
 
381960.2%
 
391860.1%
 
402560.2%
 
413320.3%
 
ValueCountFrequency (%) 
1436070.5%
 
14240< 0.1%
 
14145< 0.1%
 
14046< 0.1%
 
13954< 0.1%
 

h1_diasbp_min
Real number (ℝ≥0)

MISSING

Distinct count92
Unique (%)0.1%
Missing5527
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean62.49484875230683
Minimum22.0
Maximum113.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:08.280130image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile37
Q151
median61
Q373
95-th percentile91
Maximum113
Range91
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.3053478
Coefficient of variation (CV)0.2609070688
Kurtosis0.1233485692
Mean62.49484875
Median Absolute Deviation (MAD)11
Skewness0.299009869
Sum7788733
Variance265.864367
2021-01-30T16:53:08.393138image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5834002.6%
 
6033622.6%
 
5633542.6%
 
5532902.5%
 
5931662.4%
 
6230892.4%
 
5730622.4%
 
6330512.3%
 
6129842.3%
 
5429812.3%
 
Other values (82)9289171.4%
 
(Missing)55274.2%
 
ValueCountFrequency (%) 
227450.6%
 
231150.1%
 
241180.1%
 
251400.1%
 
261820.1%
 
ValueCountFrequency (%) 
1136120.5%
 
112720.1%
 
111720.1%
 
110920.1%
 
109750.1%
 

h1_diasbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count108
Unique (%)0.1%
Missing11339
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean75.90158898483395
Minimum37.0
Maximum144.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:08.516727image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile49
Q163
median74
Q387
95-th percentile109
Maximum144
Range107
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.64280037
Coefficient of variation (CV)0.2456180512
Kurtosis0.7884398212
Mean75.90158898
Median Absolute Deviation (MAD)12
Skewness0.6886537753
Sum9018475
Variance347.5540056
2021-01-30T16:53:08.629913image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6828272.2%
 
7027562.1%
 
7427542.1%
 
7226922.1%
 
6626362.0%
 
6526322.0%
 
7125832.0%
 
7725742.0%
 
6925632.0%
 
6725572.0%
 
Other values (98)9224470.9%
 
(Missing)113398.7%
 
ValueCountFrequency (%) 
377280.6%
 
381820.1%
 
391800.1%
 
402260.2%
 
413070.2%
 
ValueCountFrequency (%) 
1445620.4%
 
14347< 0.1%
 
14240< 0.1%
 
14145< 0.1%
 
14046< 0.1%
 

h1_diasbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count93
Unique (%)0.1%
Missing11339
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean62.89517581511219
Minimum22.0
Maximum114.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:08.757345image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile37
Q152
median62
Q373
95-th percentile91
Maximum114
Range92
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.38665347
Coefficient of variation (CV)0.2605391154
Kurtosis0.1353795438
Mean62.89517582
Median Absolute Deviation (MAD)11
Skewness0.2798041948
Sum7473079
Variance268.5224119
2021-01-30T16:53:08.870906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5832012.5%
 
6031862.4%
 
5631682.4%
 
5531242.4%
 
5930532.3%
 
6229352.3%
 
5729252.2%
 
6329042.2%
 
6528792.2%
 
6128732.2%
 
Other values (83)8857068.0%
 
(Missing)113398.7%
 
ValueCountFrequency (%) 
227230.6%
 
231130.1%
 
241130.1%
 
251400.1%
 
261790.1%
 
ValueCountFrequency (%) 
1145560.4%
 
11351< 0.1%
 
112730.1%
 
111720.1%
 
110910.1%
 

h1_heartrate_max
Real number (ℝ≥0)

MISSING

Distinct count119
Unique (%)0.1%
Missing4074
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean92.45738124885987
Minimum46.0
Maximum164.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:09.002699image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile61
Q177
median90
Q3106
95-th percentile132
Maximum164
Range118
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.78325334
Coefficient of variation (CV)0.2356031833
Kurtosis0.2538903056
Mean92.45738125
Median Absolute Deviation (MAD)14
Skewness0.5614561914
Sum11657304
Variance474.5101263
2021-01-30T16:53:09.125366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8033022.5%
 
9026302.0%
 
8826202.0%
 
8626022.0%
 
8225712.0%
 
8425251.9%
 
9224411.9%
 
9623731.8%
 
7822781.8%
 
9422771.7%
 
Other values (109)10046477.2%
 
(Missing)40743.1%
 
ValueCountFrequency (%) 
467290.6%
 
471070.1%
 
481260.1%
 
491380.1%
 
502150.2%
 
ValueCountFrequency (%) 
1645890.5%
 
16349< 0.1%
 
16256< 0.1%
 
16152< 0.1%
 
160840.1%
 

h1_heartrate_min
Real number (ℝ≥0)

MISSING

Distinct count109
Unique (%)0.1%
Missing4074
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean83.78977340323438
Minimum36.0
Maximum144.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:09.257116image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile54
Q169
median82
Q397
95-th percentile120
Maximum144
Range108
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.22246472
Coefficient of variation (CV)0.2413476478
Kurtosis-0.03041374228
Mean83.7897734
Median Absolute Deviation (MAD)14
Skewness0.3955943233
Sum10564466
Variance408.9480793
2021-01-30T16:53:09.371000image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8035462.7%
 
7029482.3%
 
7426212.0%
 
7826122.0%
 
8426102.0%
 
8225852.0%
 
7625662.0%
 
7225261.9%
 
9025011.9%
 
6024651.9%
 
Other values (99)9910376.1%
 
(Missing)40743.1%
 
ValueCountFrequency (%) 
367380.6%
 
37760.1%
 
38880.1%
 
39820.1%
 
401480.1%
 
ValueCountFrequency (%) 
1446300.5%
 
14362< 0.1%
 
142880.1%
 
141860.1%
 
1401230.1%
 

h1_mbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count255
Unique (%)1.0%
Missing104766
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean94.67372789571108
Minimum35.625
Maximum293.375
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:09.498031image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum35.625
5-th percentile64
Q178
median90
Q3104
95-th percentile132
Maximum293.375
Range257.75
Interquartile range (IQR)26

Descriptive statistics

Standard deviation30.46325041
Coefficient of variation (CV)0.3217708977
Kurtosis16.99062462
Mean94.6737279
Median Absolute Deviation (MAD)12
Skewness3.321943831
Sum2403860.625
Variance928.0096258
2021-01-30T16:53:09.617676image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
886140.5%
 
946020.5%
 
826020.5%
 
905990.5%
 
805850.4%
 
865760.4%
 
845760.4%
 
925730.4%
 
835580.4%
 
965390.4%
 
Other values (245)1956715.0%
 
(Missing)10476680.5%
 
ValueCountFrequency (%) 
35.6251280.1%
 
364< 0.1%
 
371< 0.1%
 
385< 0.1%
 
391< 0.1%
 
ValueCountFrequency (%) 
293.3751270.1%
 
2935< 0.1%
 
2924< 0.1%
 
2913< 0.1%
 
2907< 0.1%
 

h1_mbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count133
Unique (%)0.5%
Missing104766
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean75.97357331337875
Minimum8.0
Maximum140.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:09.740796image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile49
Q164
median74
Q388
95-th percentile108
Maximum140
Range132
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.11216583
Coefficient of variation (CV)0.2515633396
Kurtosis1.232260729
Mean75.97357331
Median Absolute Deviation (MAD)12
Skewness0.09883168279
Sum1929045
Variance365.2748825
2021-01-30T16:53:09.861981image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
666540.5%
 
706480.5%
 
746180.5%
 
726180.5%
 
646150.5%
 
685670.4%
 
735620.4%
 
785600.4%
 
625600.4%
 
655590.4%
 
Other values (123)1943014.9%
 
(Missing)10476680.5%
 
ValueCountFrequency (%) 
81480.1%
 
99< 0.1%
 
1016< 0.1%
 
1110< 0.1%
 
126< 0.1%
 
ValueCountFrequency (%) 
1401250.1%
 
1395< 0.1%
 
13810< 0.1%
 
1377< 0.1%
 
1365< 0.1%
 

h1_mbp_max
Real number (ℝ≥0)

MISSING

Distinct count155
Unique (%)0.1%
Missing6530
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean91.28710826381777
Minimum49.0
Maximum165.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:10.001287image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile62
Q177
median89
Q3103
95-th percentile128
Maximum165
Range116
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.39222151
Coefficient of variation (CV)0.2233855568
Kurtosis0.7192827076
Mean91.28710826
Median Absolute Deviation (MAD)13
Skewness0.6825887812
Sum11285551.33
Variance415.8426981
2021-01-30T16:53:10.129708image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8826192.0%
 
8625862.0%
 
8425251.9%
 
9025191.9%
 
8225111.9%
 
8525071.9%
 
8324971.9%
 
7824971.9%
 
8724911.9%
 
8024861.9%
 
Other values (145)9838975.6%
 
(Missing)65305.0%
 
ValueCountFrequency (%) 
497400.6%
 
501500.1%
 
511690.1%
 
522120.2%
 
532330.2%
 
ValueCountFrequency (%) 
1656150.5%
 
16431< 0.1%
 
16345< 0.1%
 
16235< 0.1%
 
16143< 0.1%
 

h1_mbp_min
Real number (ℝ≥0)

MISSING

Distinct count137
Unique (%)0.1%
Missing6530
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean78.84621751991071
Minimum32.0
Maximum138.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:10.264277image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile50
Q166
median78
Q391
95-th percentile112
Maximum138
Range106
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.84482237
Coefficient of variation (CV)0.2390073103
Kurtosis0.1551800923
Mean78.84621752
Median Absolute Deviation (MAD)12
Skewness0.3164923242
Sum9747521.333
Variance355.1273303
2021-01-30T16:53:10.380163image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7427832.1%
 
8027652.1%
 
7626742.1%
 
7326652.0%
 
7826622.0%
 
7126442.0%
 
7926422.0%
 
7526202.0%
 
7026012.0%
 
7225802.0%
 
Other values (127)9699174.5%
 
(Missing)65305.0%
 
ValueCountFrequency (%) 
326980.5%
 
33790.1%
 
341080.1%
 
351040.1%
 
361420.1%
 
ValueCountFrequency (%) 
1385780.4%
 
13760< 0.1%
 
136660.1%
 
135770.1%
 
134740.1%
 

h1_mbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count153
Unique (%)0.1%
Missing13297
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean91.25430714813452
Minimum49.0
Maximum163.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:10.524425image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile62
Q177
median89
Q3103
95-th percentile128
Maximum163
Range114
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.41091754
Coefficient of variation (CV)0.2236707305
Kurtosis0.5540279008
Mean91.25430715
Median Absolute Deviation (MAD)13
Skewness0.6383394596
Sum10663978.33
Variance416.6055548
2021-01-30T16:53:10.655199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8824511.9%
 
8624021.8%
 
8523791.8%
 
7923441.8%
 
8723321.8%
 
8423311.8%
 
8323301.8%
 
9023291.8%
 
9123201.8%
 
8923191.8%
 
Other values (143)9332371.7%
 
(Missing)1329710.2%
 
ValueCountFrequency (%) 
497400.6%
 
501420.1%
 
511690.1%
 
522050.2%
 
532320.2%
 
ValueCountFrequency (%) 
1635430.4%
 
16234< 0.1%
 
16144< 0.1%
 
16032< 0.1%
 
15945< 0.1%
 

h1_mbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count137
Unique (%)0.1%
Missing13297
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean79.0873466826459
Minimum32.0
Maximum138.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:10.787377image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile50
Q166
median78
Q391
95-th percentile112
Maximum138
Range106
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.96647333
Coefficient of variation (CV)0.2398167865
Kurtosis0.1384304494
Mean79.08734668
Median Absolute Deviation (MAD)13
Skewness0.2989832941
Sum9242147.333
Variance359.7271106
2021-01-30T16:53:10.902658image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8026012.0%
 
7425672.0%
 
7325121.9%
 
7625041.9%
 
7524961.9%
 
7924951.9%
 
7824921.9%
 
7124891.9%
 
7724791.9%
 
8124331.9%
 
Other values (127)9179270.5%
 
(Missing)1329710.2%
 
ValueCountFrequency (%) 
326690.5%
 
33760.1%
 
341070.1%
 
351040.1%
 
361410.1%
 
ValueCountFrequency (%) 
1385640.4%
 
13759< 0.1%
 
136660.1%
 
135770.1%
 
134740.1%
 

h1_resprate_max
Real number (ℝ≥0)

MISSING

Distinct count50
Unique (%)< 0.1%
Missing6454
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean22.54352764282192
Minimum10.0
Maximum59.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:11.035155image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14
Q118
median21
Q326
95-th percentile37
Maximum59
Range49
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.441327837
Coefficient of variation (CV)0.3300871077
Kurtosis3.930823794
Mean22.54352764
Median Absolute Deviation (MAD)4
Skewness1.549262808
Sum2788702
Variance55.37335997
2021-01-30T16:53:11.166348image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20111248.5%
 
18103748.0%
 
1680476.2%
 
2280086.2%
 
1976105.8%
 
2174635.7%
 
2467505.2%
 
1763664.9%
 
2361104.7%
 
2549863.8%
 
Other values (40)4686536.0%
 
(Missing)64545.0%
 
ValueCountFrequency (%) 
1011000.8%
 
116240.5%
 
1222951.8%
 
1318761.4%
 
1442643.3%
 
ValueCountFrequency (%) 
596050.5%
 
5842< 0.1%
 
5747< 0.1%
 
5653< 0.1%
 
55680.1%
 

h1_resprate_min
Real number (ℝ≥0)

MISSING

Distinct count94
Unique (%)0.1%
Missing6454
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean17.08424209598797
Minimum0.0
Maximum189.0
Zeros905
Zeros (%)0.7%
Memory size1016.9 KiB
2021-01-30T16:53:11.311000image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median16
Q320
95-th percentile28
Maximum189
Range189
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.933457947
Coefficient of variation (CV)0.3473058924
Kurtosis17.73373164
Mean17.0842421
Median Absolute Deviation (MAD)3
Skewness1.697654285
Sum2113372
Variance35.20592321
2021-01-30T16:53:11.444005image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16128339.9%
 
14115398.9%
 
18104868.1%
 
1296567.4%
 
1593917.2%
 
2080306.2%
 
1778806.1%
 
1369555.3%
 
1960784.7%
 
1144253.4%
 
Other values (84)3643028.0%
 
(Missing)64545.0%
 
ValueCountFrequency (%) 
09050.7%
 
158< 0.1%
 
256< 0.1%
 
3860.1%
 
41390.1%
 
ValueCountFrequency (%) 
1891< 0.1%
 
1291< 0.1%
 
1271< 0.1%
 
1251< 0.1%
 
1181< 0.1%
 

h1_spo2_max
Real number (ℝ≥0)

MISSING

Distinct count79
Unique (%)0.1%
Missing6242
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean98.09690513658556
Minimum0.0
Maximum100.0
Zeros13
Zeros (%)< 0.1%
Memory size1016.9 KiB
2021-01-30T16:53:11.593784image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile94
Q197
median99
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.114242043
Coefficient of variation (CV)0.03174658812
Kurtosis229.8185219
Mean98.09690514
Median Absolute Deviation (MAD)1
Skewness-10.02163579
Sum12155678
Variance9.698503503
2021-01-30T16:53:11.716527image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1005243440.3%
 
991826214.0%
 
981596412.3%
 
97126589.7%
 
9691947.1%
 
9560134.6%
 
9437412.9%
 
9321031.6%
 
9213331.0%
 
916380.5%
 
Other values (69)15751.2%
 
(Missing)62424.8%
 
ValueCountFrequency (%) 
013< 0.1%
 
22< 0.1%
 
71< 0.1%
 
102< 0.1%
 
121< 0.1%
 
ValueCountFrequency (%) 
1005243440.3%
 
991826214.0%
 
981596412.3%
 
97126589.7%
 
9691947.1%
 

h1_spo2_min
Real number (ℝ≥0)

MISSING

Distinct count101
Unique (%)0.1%
Missing6242
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean95.2545212444014
Minimum0.0
Maximum100.0
Zeros67
Zeros (%)0.1%
Memory size1016.9 KiB
2021-01-30T16:53:11.852639image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile87
Q194
median96
Q399
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.468138799
Coefficient of variation (CV)0.06790374582
Kurtosis70.14567435
Mean95.25452124
Median Absolute Deviation (MAD)3
Skewness-6.505720336
Sum11803464
Variance41.83681952
2021-01-30T16:53:11.975794image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1002110816.2%
 
981392210.7%
 
971391510.7%
 
961318210.1%
 
99126309.7%
 
95115508.9%
 
9491597.0%
 
9370995.5%
 
9254294.2%
 
9136642.8%
 
Other values (91)122579.4%
 
(Missing)62424.8%
 
ValueCountFrequency (%) 
0670.1%
 
14< 0.1%
 
214< 0.1%
 
35< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
1002110816.2%
 
99126309.7%
 
981392210.7%
 
971391510.7%
 
961318210.1%
 

h1_sysbp_invasive_max
Real number (ℝ≥0)

MISSING

Distinct count182
Unique (%)0.7%
Missing104807
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean138.2233530571992
Minimum65.0
Maximum246.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:12.107847image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile96
Q1119
median136
Q3155
95-th percentile189
Maximum246
Range181
Interquartile range (IQR)36

Descriptive statistics

Standard deviation28.92439577
Coefficient of variation (CV)0.209258386
Kurtosis0.8832184773
Mean138.2233531
Median Absolute Deviation (MAD)18
Skewness0.5614220921
Sum3503962
Variance836.6206704
2021-01-30T16:53:12.245555image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1264380.3%
 
1244300.3%
 
1324270.3%
 
1204130.3%
 
1283980.3%
 
1223980.3%
 
1303950.3%
 
1343940.3%
 
1403880.3%
 
1463820.3%
 
Other values (172)2128716.4%
 
(Missing)10480780.5%
 
ValueCountFrequency (%) 
651410.1%
 
667< 0.1%
 
674< 0.1%
 
689< 0.1%
 
699< 0.1%
 
ValueCountFrequency (%) 
2461240.1%
 
2456< 0.1%
 
2442< 0.1%
 
2434< 0.1%
 
2422< 0.1%
 

h1_sysbp_invasive_min
Real number (ℝ≥0)

MISSING

Distinct count168
Unique (%)0.7%
Missing104807
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean114.7697798816568
Minimum31.44
Maximum198.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:12.380445image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum31.44
5-th percentile75
Q195
median112
Q3133
95-th percentile164
Maximum198
Range166.56
Interquartile range (IQR)38

Descriptive statistics

Standard deviation27.76802015
Coefficient of variation (CV)0.2419453987
Kurtosis0.2397057292
Mean114.7697799
Median Absolute Deviation (MAD)18
Skewness0.2577654845
Sum2909413.92
Variance771.062943
2021-01-30T16:53:12.500694image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1104340.3%
 
984300.3%
 
1084260.3%
 
944130.3%
 
1044110.3%
 
1024090.3%
 
924060.3%
 
1004000.3%
 
1143950.3%
 
1063850.3%
 
Other values (158)2124116.3%
 
(Missing)10480780.5%
 
ValueCountFrequency (%) 
31.441430.1%
 
322< 0.1%
 
332< 0.1%
 
344< 0.1%
 
353< 0.1%
 
ValueCountFrequency (%) 
1981240.1%
 
1976< 0.1%
 
1969< 0.1%
 
1955< 0.1%
 
19410< 0.1%
 

h1_sysbp_max
Real number (ℝ≥0)

MISSING

Distinct count149
Unique (%)0.1%
Missing5519
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean133.2625844445514
Minimum75.0
Maximum223.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:13.038006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile93
Q1113
median131
Q3150
95-th percentile183
Maximum223
Range148
Interquartile range (IQR)37

Descriptive statistics

Standard deviation27.45203674
Coefficient of variation (CV)0.2059995823
Kurtosis0.2428680186
Mean133.2625844
Median Absolute Deviation (MAD)18
Skewness0.5461780062
Sum16609582
Variance753.6143211
2021-01-30T16:53:13.166700image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12419061.5%
 
12218941.5%
 
11918801.4%
 
11818791.4%
 
13218511.4%
 
12818411.4%
 
12618321.4%
 
12518291.4%
 
12718291.4%
 
13018231.4%
 
Other values (139)10607481.5%
 
(Missing)55194.2%
 
ValueCountFrequency (%) 
756810.5%
 
76810.1%
 
77930.1%
 
781220.1%
 
791150.1%
 
ValueCountFrequency (%) 
2235950.5%
 
22250< 0.1%
 
22135< 0.1%
 
22053< 0.1%
 
21947< 0.1%
 

h1_sysbp_min
Real number (ℝ≥0)

MISSING

Distinct count142
Unique (%)0.1%
Missing5519
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean115.95198093679295
Minimum53.0
Maximum194.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:13.302860image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile75
Q197
median114
Q3133
95-th percentile162
Maximum194
Range141
Interquartile range (IQR)36

Descriptive statistics

Standard deviation26.31581748
Coefficient of variation (CV)0.226954445
Kurtosis-0.03954294324
Mean115.9519809
Median Absolute Deviation (MAD)18
Skewness0.2891391146
Sum14452023
Variance692.5222495
2021-01-30T16:53:13.422836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11019941.5%
 
10619521.5%
 
11819431.5%
 
11419301.5%
 
10819061.5%
 
11218921.5%
 
10518821.4%
 
10418671.4%
 
11318571.4%
 
11918491.4%
 
Other values (132)10556681.1%
 
(Missing)55194.2%
 
ValueCountFrequency (%) 
537140.5%
 
54760.1%
 
55920.1%
 
56890.1%
 
571110.1%
 
ValueCountFrequency (%) 
1946150.5%
 
19337< 0.1%
 
19257< 0.1%
 
19157< 0.1%
 
190680.1%
 

h1_sysbp_noninvasive_max
Real number (ℝ≥0)

MISSING

Distinct count149
Unique (%)0.1%
Missing11330
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean133.05913639156083
Minimum75.0
Maximum223.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:13.561877image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile93
Q1113
median130
Q3150
95-th percentile183
Maximum223
Range148
Interquartile range (IQR)37

Descriptive statistics

Standard deviation27.5732459
Coefficient of variation (CV)0.2072254987
Kurtosis0.2290227368
Mean133.0591364
Median Absolute Deviation (MAD)18
Skewness0.5487019658
Sum15811018
Variance760.2838895
2021-01-30T16:53:13.694609image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11918151.4%
 
11817771.4%
 
12217751.4%
 
12417671.4%
 
12717521.3%
 
12817471.3%
 
13217411.3%
 
12517361.3%
 
11717241.3%
 
13017121.3%
 
Other values (139)10128177.8%
 
(Missing)113308.7%
 
ValueCountFrequency (%) 
756630.5%
 
76800.1%
 
77930.1%
 
781200.1%
 
791140.1%
 
ValueCountFrequency (%) 
2235590.4%
 
22249< 0.1%
 
22133< 0.1%
 
22052< 0.1%
 
21946< 0.1%
 

h1_sysbp_noninvasive_min
Real number (ℝ≥0)

MISSING

Distinct count143
Unique (%)0.1%
Missing11330
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean116.08223720198272
Minimum53.0
Maximum195.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:13.844387image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile75
Q198
median115
Q3133
95-th percentile162
Maximum195
Range142
Interquartile range (IQR)35

Descriptive statistics

Standard deviation26.42217862
Coefficient of variation (CV)0.2276160355
Kurtosis-0.03430017688
Mean116.0822372
Median Absolute Deviation (MAD)18
Skewness0.2809745025
Sum13793704
Variance698.1315232
2021-01-30T16:53:13.966446image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11018771.4%
 
11818551.4%
 
10618381.4%
 
11418201.4%
 
10518081.4%
 
10817941.4%
 
11217941.4%
 
11917841.4%
 
11317841.4%
 
11117731.4%
 
Other values (133)10070077.4%
 
(Missing)113308.7%
 
ValueCountFrequency (%) 
537030.5%
 
54740.1%
 
55900.1%
 
56870.1%
 
571100.1%
 
ValueCountFrequency (%) 
1955570.4%
 
19438< 0.1%
 
19336< 0.1%
 
19256< 0.1%
 
19158< 0.1%
 

h1_temp_max
Real number (ℝ≥0)

MISSING

Distinct count383
Unique (%)0.4%
Missing29703
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean36.72259680751588
Minimum33.4
Maximum39.5
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:14.102123image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum33.4
5-th percentile35.6
Q136.4
median36.7
Q337.1
95-th percentile38
Maximum39.5
Range6.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.7737436966
Coefficient of variation (CV)0.02106996138
Kurtosis3.964457534
Mean36.72259681
Median Absolute Deviation (MAD)0.3
Skewness-0.3318181021
Sum3688931.74
Variance0.5986793081
2021-01-30T16:53:14.227342image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
36.788016.8%
 
36.887316.7%
 
36.684316.5%
 
36.472415.6%
 
36.970275.4%
 
36.554324.2%
 
37.149643.8%
 
3748893.8%
 
36.343913.4%
 
37.238192.9%
 
Other values (373)3672828.2%
 
(Missing)2970322.8%
 
ValueCountFrequency (%) 
33.46510.5%
 
33.444444441< 0.1%
 
33.471< 0.1%
 
33.535< 0.1%
 
33.558241< 0.1%
 
ValueCountFrequency (%) 
39.54170.3%
 
39.44761< 0.1%
 
39.442< 0.1%
 
39.41550.1%
 
39.382< 0.1%
 

h1_temp_min
Real number (ℝ≥0)

MISSING

Distinct count392
Unique (%)0.4%
Missing29703
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean36.613964495457125
Minimum32.9
Maximum39.3
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:14.349846image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum32.9
5-th percentile35.3
Q136.3
median36.7
Q337
95-th percentile37.8
Maximum39.3
Range6.4
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.7968524786
Coefficient of variation (CV)0.02176362187
Kurtosis4.834946751
Mean36.6139645
Median Absolute Deviation (MAD)0.3
Skewness-0.8670371576
Sum3678019.189
Variance0.6349738726
2021-01-30T16:53:14.471900image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
36.787296.7%
 
36.686216.6%
 
36.882466.3%
 
36.477886.0%
 
36.964535.0%
 
36.557694.4%
 
36.350093.8%
 
37.143753.4%
 
3743263.3%
 
36.236042.8%
 
Other values (382)3753428.8%
 
(Missing)2970322.8%
 
ValueCountFrequency (%) 
32.96250.5%
 
32.942< 0.1%
 
3351< 0.1%
 
33.051< 0.1%
 
33.091< 0.1%
 
ValueCountFrequency (%) 
39.34080.3%
 
39.272< 0.1%
 
39.221< 0.1%
 
39.21120.1%
 
39.166666671< 0.1%
 

d1_albumin_max
Real number (ℝ≥0)

MISSING

Distinct count40
Unique (%)0.1%
Missing71406
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean2.9526731459890043
Minimum1.2
Maximum4.6
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:14.597312image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.8
Q12.5
median3
Q33.4
95-th percentile4
Maximum4.6
Range3.4
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.675605836
Coefficient of variation (CV)0.2288115896
Kurtosis-0.3455112864
Mean2.952673146
Median Absolute Deviation (MAD)0.5
Skewness-0.1806672
Sum173472.5
Variance0.4564432457
2021-01-30T16:53:14.723092image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.133712.6%
 
333352.6%
 
3.233132.5%
 
2.932482.5%
 
3.331742.4%
 
2.831232.4%
 
3.430422.3%
 
2.729012.2%
 
3.528252.2%
 
2.626692.1%
 
Other values (30)2775021.3%
 
(Missing)7140654.9%
 
ValueCountFrequency (%) 
1.24720.4%
 
1.31980.2%
 
1.42680.2%
 
1.54240.3%
 
1.65290.4%
 
ValueCountFrequency (%) 
4.62350.2%
 
4.51780.1%
 
4.42860.2%
 
4.34390.3%
 
4.25910.5%
 

d1_albumin_min
Real number (ℝ≥0)

MISSING

Distinct count38
Unique (%)0.1%
Missing71406
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean2.8830734796003474
Minimum1.1
Maximum4.5
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:14.853873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.7
Q12.4
median2.9
Q33.4
95-th percentile4
Maximum4.5
Range3.4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6798076714
Coefficient of variation (CV)0.235792697
Kurtosis-0.3509226281
Mean2.88307348
Median Absolute Deviation (MAD)0.5
Skewness-0.1922043851
Sum169383.45
Variance0.4621384702
2021-01-30T16:53:14.989906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
333462.6%
 
3.133442.6%
 
2.933132.5%
 
2.832092.5%
 
3.232062.5%
 
3.330312.3%
 
2.729742.3%
 
3.428532.2%
 
2.627882.1%
 
3.526032.0%
 
Other values (28)2808421.6%
 
(Missing)7140654.9%
 
ValueCountFrequency (%) 
1.14410.3%
 
1.21970.2%
 
1.32540.2%
 
1.43530.3%
 
1.55180.4%
 
ValueCountFrequency (%) 
4.52500.2%
 
4.42160.2%
 
4.33570.3%
 
4.24800.4%
 
4.17000.5%
 

d1_bilirubin_max
Real number (ℝ≥0)

MISSING

Distinct count593
Unique (%)1.1%
Missing76735
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean1.1913793942570476
Minimum0.2
Maximum60.2
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:15.140759image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.2
Q10.4
median0.7
Q31.1
95-th percentile3.4
Maximum60.2
Range60
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.319164597
Coefficient of variation (CV)1.946621377
Kurtosis104.4954875
Mean1.191379394
Median Absolute Deviation (MAD)0.3
Skewness8.653271987
Sum63645.87
Variance5.378524428
2021-01-30T16:53:15.278534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.464404.9%
 
0.560724.7%
 
0.353704.1%
 
0.651363.9%
 
0.742433.3%
 
0.834762.7%
 
0.927242.1%
 
0.226942.1%
 
122331.7%
 
1.116911.3%
 
Other values (583)1334310.3%
 
(Missing)7673559.0%
 
ValueCountFrequency (%) 
0.226942.1%
 
0.217< 0.1%
 
0.2215< 0.1%
 
0.2310< 0.1%
 
0.248< 0.1%
 
ValueCountFrequency (%) 
60.21< 0.1%
 
511< 0.1%
 
50.91< 0.1%
 
481< 0.1%
 
44.81< 0.1%
 

d1_bilirubin_min
Real number (ℝ≥0)

MISSING

Distinct count559
Unique (%)1.0%
Missing76735
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean1.117404627307102
Minimum0.2
Maximum58.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:15.409812image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.2
Q10.4
median0.6
Q31
95-th percentile3.1
Maximum58
Range57.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation2.20152521
Coefficient of variation (CV)1.970213078
Kurtosis110.2299541
Mean1.117404627
Median Absolute Deviation (MAD)0.3
Skewness8.908616559
Sum59693.99
Variance4.846713252
2021-01-30T16:53:15.536494image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.468865.3%
 
0.562164.8%
 
0.358934.5%
 
0.651994.0%
 
0.741393.2%
 
0.833782.6%
 
0.231902.5%
 
0.926052.0%
 
120991.6%
 
1.116261.2%
 
Other values (549)121919.4%
 
(Missing)7673559.0%
 
ValueCountFrequency (%) 
0.231902.5%
 
0.218< 0.1%
 
0.2215< 0.1%
 
0.2312< 0.1%
 
0.2412< 0.1%
 
ValueCountFrequency (%) 
581< 0.1%
 
511< 0.1%
 
50.31< 0.1%
 
47.31< 0.1%
 
43.51< 0.1%
 

d1_bun_max
Real number (ℝ≥0)

MISSING

Distinct count494
Unique (%)0.4%
Missing13734
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean25.578808396966238
Minimum4.0
Maximum126.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:15.667616image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q113
median19
Q331
95-th percentile69
Maximum126
Range122
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.49592711
Coefficient of variation (CV)0.8012854545
Kurtosis5.4864892
Mean25.5788084
Median Absolute Deviation (MAD)8
Skewness2.148210472
Sum2977961.61
Variance420.0830282
2021-01-30T16:53:15.787476image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1352084.0%
 
1451464.0%
 
1251203.9%
 
1550233.9%
 
1149173.8%
 
1646883.6%
 
1044963.5%
 
1742813.3%
 
939453.0%
 
1839353.0%
 
Other values (484)6966453.5%
 
(Missing)1373410.6%
 
ValueCountFrequency (%) 
411990.9%
 
4.11< 0.1%
 
4.32< 0.1%
 
4.41< 0.1%
 
4.62< 0.1%
 
ValueCountFrequency (%) 
1265700.4%
 
12525< 0.1%
 
12426< 0.1%
 
12329< 0.1%
 
12225< 0.1%
 

d1_bun_min
Real number (ℝ≥0)

MISSING

Distinct count471
Unique (%)0.4%
Missing13734
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean23.554154161978303
Minimum3.0
Maximum113.09
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:15.919397image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q112
median17
Q329
95-th percentile63
Maximum113.09
Range110.09
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.70833204
Coefficient of variation (CV)0.7942688968
Kurtosis5.196652566
Mean23.55415416
Median Absolute Deviation (MAD)7
Skewness2.099346019
Sum2742245.29
Variance350.0016878
2021-01-30T16:53:16.033506image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1255434.3%
 
1355174.2%
 
1152854.1%
 
1452214.0%
 
1051554.0%
 
1549643.8%
 
1646463.6%
 
945163.5%
 
1742313.3%
 
839563.0%
 
Other values (461)6738951.8%
 
(Missing)1373410.6%
 
ValueCountFrequency (%) 
38890.7%
 
3.11< 0.1%
 
3.31< 0.1%
 
3.42< 0.1%
 
3.52< 0.1%
 
ValueCountFrequency (%) 
113.095820.4%
 
11326< 0.1%
 
11225< 0.1%
 
11133< 0.1%
 
11042< 0.1%
 

d1_calcium_max
Real number (ℝ≥0)

MISSING

Distinct count47
Unique (%)< 0.1%
Missing16692
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean8.379782311726082
Minimum6.2
Maximum10.8
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:16.163249image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile7.1
Q17.9
median8.4
Q38.8
95-th percentile9.5
Maximum10.8
Range4.6
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.7400984544
Coefficient of variation (CV)0.08831953228
Kurtosis0.5759992821
Mean8.379782312
Median Absolute Deviation (MAD)0.5
Skewness-0.0280838522
Sum950812
Variance0.5477457222
2021-01-30T16:53:16.284767image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.467255.2%
 
8.567085.2%
 
8.665645.0%
 
8.364765.0%
 
8.261844.8%
 
8.760914.7%
 
8.857954.5%
 
8.157464.4%
 
852394.0%
 
8.951604.0%
 
Other values (37)5277740.5%
 
(Missing)1669212.8%
 
ValueCountFrequency (%) 
6.27160.6%
 
6.31390.1%
 
6.42340.2%
 
6.53170.2%
 
6.63970.3%
 
ValueCountFrequency (%) 
10.85670.4%
 
10.7760.1%
 
10.6920.1%
 
10.51340.1%
 
10.41520.1%
 

d1_calcium_min
Real number (ℝ≥0)

MISSING

Distinct count49
Unique (%)< 0.1%
Missing16692
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean8.164673687921384
Minimum5.5
Maximum10.3
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:16.415209image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile6.8
Q17.7
median8.2
Q38.7
95-th percentile9.3
Maximum10.3
Range4.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7930552823
Coefficient of variation (CV)0.09713251412
Kurtosis0.6541515596
Mean8.164673688
Median Absolute Deviation (MAD)0.5
Skewness-0.4484243204
Sum926404.7
Variance0.6289366807
2021-01-30T16:53:16.534376image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.362974.8%
 
8.462774.8%
 
8.561824.7%
 
8.261084.7%
 
8.158874.5%
 
8.658374.5%
 
856724.4%
 
8.753014.1%
 
7.952064.0%
 
8.849623.8%
 
Other values (39)5573642.8%
 
(Missing)1669212.8%
 
ValueCountFrequency (%) 
5.57060.5%
 
5.61030.1%
 
5.71300.1%
 
5.81740.1%
 
5.91840.1%
 
ValueCountFrequency (%) 
10.35230.4%
 
10.21310.1%
 
10.11850.1%
 
102370.2%
 
9.92970.2%
 

d1_creatinine_max
Real number (ℝ≥0)

MISSING

Distinct count1247
Unique (%)1.1%
Missing13273
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean1.493531424318127
Minimum0.34
Maximum11.11
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:16.662414image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.34
5-th percentile0.51
Q10.75
median1
Q31.51
95-th percentile4.4
Maximum11.11
Range10.77
Interquartile range (IQR)0.76

Descriptive statistics

Standard deviation1.525906488
Coefficient of variation (CV)1.021676855
Kurtosis15.22573442
Mean1.493531424
Median Absolute Deviation (MAD)0.3
Skewness3.579107653
Sum174569.927
Variance2.32839061
2021-01-30T16:53:16.785808image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.840173.1%
 
0.736872.8%
 
0.936192.8%
 
130552.3%
 
0.625452.0%
 
1.124051.8%
 
1.218851.4%
 
1.315091.2%
 
0.513781.1%
 
1.412300.9%
 
Other values (1237)9155470.3%
 
(Missing)1327310.2%
 
ValueCountFrequency (%) 
0.346500.5%
 
0.3441< 0.1%
 
0.3481< 0.1%
 
0.35710.1%
 
0.3591< 0.1%
 
ValueCountFrequency (%) 
11.115850.4%
 
11.16< 0.1%
 
11.081< 0.1%
 
11.071< 0.1%
 
11.061< 0.1%
 

d1_creatinine_min
Real number (ℝ≥0)

MISSING

Distinct count1147
Unique (%)1.0%
Missing13273
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean1.3637950917148625
Minimum0.3
Maximum9.9379
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:16.921073image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.5
Q10.71
median0.94
Q31.4
95-th percentile3.9
Maximum9.9379
Range9.6379
Interquartile range (IQR)0.69

Descriptive statistics

Standard deviation1.341641808
Coefficient of variation (CV)0.9837561491
Kurtosis15.64191877
Mean1.363795092
Median Absolute Deviation (MAD)0.28
Skewness3.613479074
Sum159405.8255
Variance1.80000274
2021-01-30T16:53:17.044921image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.842033.2%
 
0.740343.1%
 
0.935372.7%
 
0.630472.3%
 
129432.3%
 
1.122761.7%
 
0.518091.4%
 
1.217741.4%
 
1.313851.1%
 
0.7811370.9%
 
Other values (1137)9073969.7%
 
(Missing)1327310.2%
 
ValueCountFrequency (%) 
0.36710.5%
 
0.31770.1%
 
0.3162< 0.1%
 
0.32740.1%
 
0.33800.1%
 
ValueCountFrequency (%) 
9.93795850.4%
 
9.933< 0.1%
 
9.922< 0.1%
 
9.912< 0.1%
 
9.98< 0.1%
 

d1_glucose_max
Real number (ℝ≥0)

MISSING

Distinct count538
Unique (%)0.4%
Missing8243
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean174.14980231966797
Minimum73.0
Maximum611.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:17.183321image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile90
Q1117
median150
Q3200
95-th percentile349
Maximum611
Range538
Interquartile range (IQR)83

Descriptive statistics

Standard deviation86.54546561
Coefficient of variation (CV)0.4969598843
Kurtosis5.590214777
Mean174.1498023
Median Absolute Deviation (MAD)38
Skewness2.079574287
Sum21231299
Variance7490.117618
2021-01-30T16:53:17.308621image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12210600.8%
 
11310550.8%
 
11210420.8%
 
11410400.8%
 
11910280.8%
 
10710100.8%
 
12510040.8%
 
1119980.8%
 
1179960.8%
 
1089950.8%
 
Other values (528)11168685.8%
 
(Missing)82436.3%
 
ValueCountFrequency (%) 
736440.5%
 
741180.1%
 
751280.1%
 
761450.1%
 
771580.1%
 
ValueCountFrequency (%) 
6116090.5%
 
6102< 0.1%
 
6093< 0.1%
 
6085< 0.1%
 
6073< 0.1%
 

d1_glucose_min
Real number (ℝ≥0)

MISSING

Distinct count256
Unique (%)0.2%
Missing8243
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean114.44031038272881
Minimum33.0
Maximum288.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:17.442811image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile66
Q191
median108
Q3131
95-th percentile186
Maximum288
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation38.21768211
Coefficient of variation (CV)0.333952975
Kurtosis3.431401684
Mean114.4403104
Median Absolute Deviation (MAD)19
Skewness1.383536381
Sum13951876
Variance1460.591226
2021-01-30T16:53:17.557604image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9719191.5%
 
9618931.5%
 
9818701.4%
 
9218571.4%
 
9518531.4%
 
10018431.4%
 
10418211.4%
 
10218131.4%
 
10317831.4%
 
10117661.4%
 
Other values (246)10349679.5%
 
(Missing)82436.3%
 
ValueCountFrequency (%) 
336570.5%
 
3454< 0.1%
 
3550< 0.1%
 
36670.1%
 
3749< 0.1%
 
ValueCountFrequency (%) 
2886070.5%
 
28713< 0.1%
 
28614< 0.1%
 
28515< 0.1%
 
2849< 0.1%
 

d1_hco3_max
Real number (ℝ≥0)

MISSING

Distinct count242
Unique (%)0.2%
Missing20047
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean24.452871673780766
Minimum12.0
Maximum40.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:17.681576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile17
Q122
median24
Q327
95-th percentile32
Maximum40
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.364989946
Coefficient of variation (CV)0.1785062304
Kurtosis1.163555127
Mean24.45287167
Median Absolute Deviation (MAD)3
Skewness0.2529424397
Sum2692505.7
Variance19.05313723
2021-01-30T16:53:17.800879image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
24119129.2%
 
25117549.0%
 
23108368.3%
 
26106938.2%
 
2288836.8%
 
2786336.6%
 
2168615.3%
 
2865075.0%
 
2051534.0%
 
2943993.4%
 
Other values (232)2447918.8%
 
(Missing)2004715.4%
 
ValueCountFrequency (%) 
128490.7%
 
12.11< 0.1%
 
12.41< 0.1%
 
12.72< 0.1%
 
133620.3%
 
ValueCountFrequency (%) 
405220.4%
 
39.31< 0.1%
 
392350.2%
 
38.91< 0.1%
 
38.71< 0.1%
 

d1_hco3_min
Real number (ℝ≥0)

MISSING

Distinct count273
Unique (%)0.2%
Missing20047
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean23.192344019616748
Minimum7.0
Maximum39.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:17.930380image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q121
median23
Q326
95-th percentile31
Maximum39
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.000292761
Coefficient of variation (CV)0.2156010086
Kurtosis1.236747885
Mean23.19234402
Median Absolute Deviation (MAD)3
Skewness-0.264060878
Sum2553709
Variance25.0029277
2021-01-30T16:53:18.055239image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
23109458.4%
 
24108588.3%
 
25101177.8%
 
2295547.3%
 
2687126.7%
 
2178946.1%
 
2768515.3%
 
2063624.9%
 
2850893.9%
 
1947123.6%
 
Other values (263)2901622.3%
 
(Missing)2004715.4%
 
ValueCountFrequency (%) 
78970.7%
 
7.41< 0.1%
 
7.71< 0.1%
 
7.81< 0.1%
 
7.91< 0.1%
 
ValueCountFrequency (%) 
395240.4%
 
38.71< 0.1%
 
38.51< 0.1%
 
38.21< 0.1%
 
38.11< 0.1%
 

d1_hemaglobin_max
Real number (ℝ≥0)

MISSING

Distinct count105
Unique (%)0.1%
Missing16232
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean11.45981040157999
Minimum6.8
Maximum17.2
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:18.190349image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.8
5-th percentile8.1
Q19.9
median11.4
Q313
95-th percentile15.1
Maximum17.2
Range10.4
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation2.149212587
Coefficient of variation (CV)0.1875434681
Kurtosis-0.4883050389
Mean11.4598104
Median Absolute Deviation (MAD)1.6
Skewness0.1532909606
Sum1305558.9
Variance4.619114742
2021-01-30T16:53:18.306685image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11.620471.6%
 
10.920191.6%
 
11.319361.5%
 
11.919291.5%
 
11.219261.5%
 
11.719051.5%
 
11.518921.5%
 
11.818861.4%
 
12.218661.4%
 
11.118621.4%
 
Other values (95)9465772.7%
 
(Missing)1623212.5%
 
ValueCountFrequency (%) 
6.87400.6%
 
6.9960.1%
 
71980.2%
 
7.12200.2%
 
7.22840.2%
 
ValueCountFrequency (%) 
17.25590.4%
 
17.1860.1%
 
1763< 0.1%
 
16.9830.1%
 
16.81060.1%
 

d1_hemaglobin_min
Real number (ℝ≥0)

MISSING

Distinct count115
Unique (%)0.1%
Missing16232
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean10.901491332016679
Minimum5.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:18.438074image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile7.1
Q19.2
median10.9
Q312.6
95-th percentile14.7
Maximum16.7
Range11.4
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.338048122
Coefficient of variation (CV)0.214470484
Kurtosis-0.5293566223
Mean10.90149133
Median Absolute Deviation (MAD)1.7
Skewness-0.008211718069
Sum1241952.4
Variance5.46646902
2021-01-30T16:53:18.562003image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10.918541.4%
 
11.618061.4%
 
11.118051.4%
 
11.317691.4%
 
11.217621.4%
 
11.517441.3%
 
12.117361.3%
 
11.417301.3%
 
11.817291.3%
 
11.717261.3%
 
Other values (105)9626474.0%
 
(Missing)1623212.5%
 
ValueCountFrequency (%) 
5.37040.5%
 
5.4960.1%
 
5.5960.1%
 
5.61250.1%
 
5.71180.1%
 
ValueCountFrequency (%) 
16.75370.4%
 
16.6750.1%
 
16.5800.1%
 
16.41010.1%
 
16.31180.1%
 

d1_hematocrit_max
Real number (ℝ≥0)

MISSING

Distinct count312
Unique (%)0.3%
Missing15588
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean34.555833602457916
Minimum20.4
Maximum51.5
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:18.692350image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum20.4
5-th percentile24.6
Q130
median34.5
Q339
95-th percentile44.8
Maximum51.5
Range31.1
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.194616328
Coefficient of variation (CV)0.1792639819
Kurtosis-0.3978458702
Mean34.5558336
Median Absolute Deviation (MAD)4.5
Skewness0.1188476236
Sum3959027.3
Variance38.37327145
2021-01-30T16:53:18.814572image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3511780.9%
 
3611440.9%
 
3311120.9%
 
3810980.8%
 
3410570.8%
 
3710520.8%
 
3210500.8%
 
3110080.8%
 
399980.8%
 
309430.7%
 
Other values (302)10392979.8%
 
(Missing)1558812.0%
 
ValueCountFrequency (%) 
20.46100.5%
 
20.525< 0.1%
 
20.630< 0.1%
 
20.741< 0.1%
 
20.837< 0.1%
 
ValueCountFrequency (%) 
51.55560.4%
 
51.419< 0.1%
 
51.327< 0.1%
 
51.223< 0.1%
 
51.123< 0.1%
 

d1_hematocrit_min
Real number (ℝ≥0)

MISSING

Distinct count340
Unique (%)0.3%
Missing15588
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean32.93929946145991
Minimum16.1
Maximum50.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:18.974671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum16.1
5-th percentile21.5
Q128
median33.2
Q337.9
95-th percentile43.8
Maximum50
Range33.9
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation6.806349956
Coefficient of variation (CV)0.206633112
Kurtosis-0.4578225299
Mean32.93929946
Median Absolute Deviation (MAD)4.9
Skewness-0.0713810776
Sum3773822.6
Variance46.32639973
2021-01-30T16:53:19.121602image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3410570.8%
 
3510570.8%
 
3610500.8%
 
3210110.8%
 
3310020.8%
 
319870.8%
 
309450.7%
 
289380.7%
 
299350.7%
 
389180.7%
 
Other values (330)10466980.4%
 
(Missing)1558812.0%
 
ValueCountFrequency (%) 
16.16370.5%
 
16.231< 0.1%
 
16.325< 0.1%
 
16.435< 0.1%
 
16.534< 0.1%
 
ValueCountFrequency (%) 
505620.4%
 
49.920< 0.1%
 
49.828< 0.1%
 
49.722< 0.1%
 
49.619< 0.1%
 

d1_inr_max
Real number (ℝ≥0)

MISSING

Distinct count517
Unique (%)1.1%
Missing81213
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean1.5777884929715595
Minimum0.9
Maximum7.756
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:19.262611image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.1
median1.3
Q31.6
95-th percentile3.3
Maximum7.756
Range6.856
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9464772196
Coefficient of variation (CV)0.599875854
Kurtosis16.05496208
Mean1.577788493
Median Absolute Deviation (MAD)0.2
Skewness3.627099856
Sum77223.28
Variance0.8958191273
2021-01-30T16:53:19.395906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.172955.6%
 
1.260974.7%
 
149323.8%
 
1.341553.2%
 
1.432582.5%
 
1.520841.6%
 
1.616201.2%
 
1.711120.9%
 
1.89110.7%
 
0.97920.6%
 
Other values (507)1668812.8%
 
(Missing)8121362.4%
 
ValueCountFrequency (%) 
0.97920.6%
 
0.9123< 0.1%
 
0.9237< 0.1%
 
0.9351< 0.1%
 
0.9441< 0.1%
 
ValueCountFrequency (%) 
7.7562450.2%
 
7.79< 0.1%
 
7.691< 0.1%
 
7.661< 0.1%
 
7.641< 0.1%
 

d1_inr_min
Real number (ℝ≥0)

MISSING

Distinct count415
Unique (%)0.8%
Missing81213
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean1.46347284651847
Minimum0.9
Maximum6.127
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:19.533269image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.1
median1.2
Q31.5
95-th percentile2.9
Maximum6.127
Range5.227
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.7376387677
Coefficient of variation (CV)0.5040331083
Kurtosis14.66971936
Mean1.463472847
Median Absolute Deviation (MAD)0.19
Skewness3.469714908
Sum71628.215
Variance0.5441109517
2021-01-30T16:53:19.653206image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.180726.2%
 
1.263914.9%
 
157774.4%
 
1.342313.3%
 
1.430802.4%
 
1.518901.5%
 
1.614271.1%
 
0.910400.8%
 
1.79740.7%
 
1.87880.6%
 
Other values (405)1527411.7%
 
(Missing)8121362.4%
 
ValueCountFrequency (%) 
0.910400.8%
 
0.9124< 0.1%
 
0.9244< 0.1%
 
0.9359< 0.1%
 
0.9449< 0.1%
 
ValueCountFrequency (%) 
6.1272450.2%
 
6.122< 0.1%
 
6.114< 0.1%
 
6.091< 0.1%
 
6.051< 0.1%
 

d1_lactate_max
Real number (ℝ≥0)

MISSING

Distinct count783
Unique (%)2.3%
Missing95503
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean2.9220750851272577
Minimum0.4
Maximum19.8
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:19.785095image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.7
Q11.2
median1.9
Q33.3
95-th percentile9.3
Maximum19.8
Range19.4
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation3.057443384
Coefficient of variation (CV)1.046326085
Kurtosis9.718209985
Mean2.922075085
Median Absolute Deviation (MAD)0.9
Skewness2.876714708
Sum101261.59
Variance9.347960046
2021-01-30T16:53:19.917285image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
114841.1%
 
1.214341.1%
 
1.114161.1%
 
0.913561.0%
 
1.312951.0%
 
1.412861.0%
 
0.812320.9%
 
1.511680.9%
 
1.611660.9%
 
1.710860.8%
 
Other values (773)2173116.7%
 
(Missing)9550373.4%
 
ValueCountFrequency (%) 
0.42290.2%
 
0.411< 0.1%
 
0.422< 0.1%
 
0.431< 0.1%
 
0.442< 0.1%
 
ValueCountFrequency (%) 
19.81700.1%
 
19.751< 0.1%
 
19.74< 0.1%
 
19.66< 0.1%
 
19.51< 0.1%
 

d1_lactate_min
Real number (ℝ≥0)

MISSING

Distinct count546
Unique (%)1.6%
Missing95503
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean2.078144802908755
Minimum0.4
Maximum15.1
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:20.065199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.6
Q11
median1.5
Q32.3
95-th percentile5.7
Maximum15.1
Range14.7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation2.064290801
Coefficient of variation (CV)0.9933334762
Kurtosis15.83842319
Mean2.078144803
Median Absolute Deviation (MAD)0.6
Skewness3.602745172
Sum72016.03
Variance4.261296512
2021-01-30T16:53:20.178848image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
119751.5%
 
0.918711.4%
 
1.118511.4%
 
1.218131.4%
 
0.817291.3%
 
1.316091.2%
 
1.415651.2%
 
1.514241.1%
 
0.713711.1%
 
1.613521.0%
 
Other values (536)1809413.9%
 
(Missing)9550373.4%
 
ValueCountFrequency (%) 
0.43920.3%
 
0.412< 0.1%
 
0.423< 0.1%
 
0.431< 0.1%
 
0.442< 0.1%
 
ValueCountFrequency (%) 
15.11720.1%
 
155< 0.1%
 
14.911< 0.1%
 
14.94< 0.1%
 
14.831< 0.1%
 

d1_platelets_max
Real number (ℝ≥0)

MISSING

Distinct count559
Unique (%)0.5%
Missing18557
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean205.89209677419356
Minimum27.0
Maximum585.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:20.313795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile81
Q1147
median194
Q3250
95-th percentile368
Maximum585
Range558
Interquartile range (IQR)103

Descriptive statistics

Standard deviation89.54747681
Coefficient of variation (CV)0.4349243036
Kurtosis2.192842851
Mean205.8920968
Median Absolute Deviation (MAD)51
Skewness1.05601322
Sum22977558
Variance8018.750604
2021-01-30T16:53:20.435756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1826540.5%
 
1756530.5%
 
1736500.5%
 
1686380.5%
 
1766360.5%
 
1866310.5%
 
1966260.5%
 
1836230.5%
 
1746220.5%
 
1716220.5%
 
Other values (549)10524580.9%
 
(Missing)1855714.3%
 
ValueCountFrequency (%) 
275860.5%
 
2827< 0.1%
 
2942< 0.1%
 
3040< 0.1%
 
3149< 0.1%
 
ValueCountFrequency (%) 
5855580.4%
 
5845< 0.1%
 
5834< 0.1%
 
5827< 0.1%
 
5813< 0.1%
 

d1_platelets_min
Real number (ℝ≥0)

MISSING

Distinct count541
Unique (%)0.5%
Missing18557
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean194.91635528673834
Minimum18.55
Maximum557.45
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:20.571505image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum18.55
5-th percentile70
Q1136
median185
Q3240
95-th percentile353
Maximum557.45
Range538.9
Interquartile range (IQR)104

Descriptive statistics

Standard deviation88.12175734
Coefficient of variation (CV)0.4521003751
Kurtosis1.83735861
Mean194.9163553
Median Absolute Deviation (MAD)52
Skewness0.9501439187
Sum21752665.25
Variance7765.444117
2021-01-30T16:53:20.693677image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1686510.5%
 
1706350.5%
 
1736340.5%
 
1866280.5%
 
1576240.5%
 
1766220.5%
 
1746200.5%
 
1776150.5%
 
1826140.5%
 
1716100.5%
 
Other values (531)10534780.9%
 
(Missing)1855714.3%
 
ValueCountFrequency (%) 
18.555550.4%
 
1944< 0.1%
 
2056< 0.1%
 
2160< 0.1%
 
2257< 0.1%
 
ValueCountFrequency (%) 
557.455600.4%
 
5576< 0.1%
 
5564< 0.1%
 
5559< 0.1%
 
5544< 0.1%
 

d1_potassium_max
Real number (ℝ≥0)

MISSING

Distinct count104
Unique (%)0.1%
Missing12546
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.253052860701805
Minimum2.8
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:20.822384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.4
Q13.8
median4.2
Q34.6
95-th percentile5.5
Maximum7
Range4.2
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.6669421951
Coefficient of variation (CV)0.156814932
Kurtosis2.107890382
Mean4.253052861
Median Absolute Deviation (MAD)0.4
Skewness1.068437573
Sum500205.8
Variance0.4448118916
2021-01-30T16:53:20.938372image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.190517.0%
 
489826.9%
 
4.285986.6%
 
3.984126.5%
 
4.377095.9%
 
3.875905.8%
 
4.469465.3%
 
3.761934.8%
 
4.559654.6%
 
3.651554.0%
 
Other values (94)4301033.0%
 
(Missing)125469.6%
 
ValueCountFrequency (%) 
2.86790.5%
 
2.93060.2%
 
35650.4%
 
3.18800.7%
 
3.213891.1%
 
ValueCountFrequency (%) 
75500.4%
 
6.91210.1%
 
6.81370.1%
 
6.71570.1%
 
6.61440.1%
 

d1_potassium_min
Real number (ℝ≥0)

MISSING

Distinct count118
Unique (%)0.1%
Missing12546
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.929255596840432
Minimum2.4
Maximum5.8
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:21.069880image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3
Q13.6
median3.9
Q34.3
95-th percentile4.9
Maximum5.8
Range3.4
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.5794594273
Coefficient of variation (CV)0.1474730806
Kurtosis0.4681978479
Mean3.929255597
Median Absolute Deviation (MAD)0.4
Skewness0.2770944648
Sum462123.68
Variance0.3357732279
2021-01-30T16:53:21.194171image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.991367.0%
 
3.890146.9%
 
486616.7%
 
3.784676.5%
 
4.181246.2%
 
3.673965.7%
 
4.272675.6%
 
3.563644.9%
 
4.360884.7%
 
3.454404.2%
 
Other values (108)4165432.0%
 
(Missing)125469.6%
 
ValueCountFrequency (%) 
2.48210.6%
 
2.53200.2%
 
2.64590.4%
 
2.76570.5%
 
2.721< 0.1%
 
ValueCountFrequency (%) 
5.85350.4%
 
5.72130.2%
 
5.62890.2%
 
5.581< 0.1%
 
5.53680.3%
 

d1_sodium_max
Real number (ℝ≥0)

MISSING

Distinct count71
Unique (%)0.1%
Missing13270
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean139.14944775723563
Minimum123.0
Maximum158.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:21.328832image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum123
5-th percentile131
Q1137
median139
Q3142
95-th percentile147
Maximum158
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.827751721
Coefficient of variation (CV)0.03469472426
Kurtosis1.939491753
Mean139.1494478
Median Absolute Deviation (MAD)3
Skewness0.07536764229
Sum16264761.5
Variance23.30718668
2021-01-30T16:53:21.956670image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
139121069.3%
 
140119319.2%
 
138113348.7%
 
141106348.2%
 
13796287.4%
 
14288316.8%
 
13677936.0%
 
14364445.0%
 
13557034.4%
 
14449163.8%
 
Other values (61)2756721.2%
 
(Missing)1327010.2%
 
ValueCountFrequency (%) 
1238070.6%
 
1242020.2%
 
1252270.2%
 
1263310.3%
 
1274400.3%
 
ValueCountFrequency (%) 
1585240.4%
 
157950.1%
 
1561130.1%
 
1551560.1%
 
1541680.1%
 

d1_sodium_min
Real number (ℝ≥0)

MISSING

Distinct count138
Unique (%)0.1%
Missing13270
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean137.69227287893435
Minimum117.0
Maximum153.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:22.094615image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile129
Q1135
median138
Q3141
95-th percentile145
Maximum153
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.926242112
Coefficient of variation (CV)0.03577718639
Kurtosis2.584421813
Mean137.6922729
Median Absolute Deviation (MAD)3
Skewness-0.7362993023
Sum16094436.7
Variance24.26786134
2021-01-30T16:53:22.234267image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
138119469.2%
 
139118119.1%
 
137110778.5%
 
140108318.3%
 
13696117.4%
 
14188586.8%
 
13575295.8%
 
14269035.3%
 
13461474.7%
 
14347343.6%
 
Other values (128)2744021.1%
 
(Missing)1327010.2%
 
ValueCountFrequency (%) 
1177320.6%
 
1181080.1%
 
1191280.1%
 
1201390.1%
 
120.41< 0.1%
 
ValueCountFrequency (%) 
1534750.4%
 
1521520.1%
 
1511930.1%
 
150.71< 0.1%
 
1502830.2%
 

d1_wbc_max
Real number (ℝ≥0)

MISSING

Distinct count3141
Unique (%)2.8%
Missing17429
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean12.53967248598396
Minimum1.2
Maximum46.08
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:22.381109image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile4.8
Q18
median11.1
Q315.3
95-th percentile25.2
Maximum46.08
Range44.88
Interquartile range (IQR)7.3

Descriptive statistics

Standard deviation6.782835776
Coefficient of variation (CV)0.5409101221
Kurtosis4.533219973
Mean12.53967249
Median Absolute Deviation (MAD)3.5
Skewness1.709465239
Sum1413572.2
Variance46.00686116
2021-01-30T16:53:22.504923image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.48400.6%
 
9.28360.6%
 
10.28310.6%
 
9.78280.6%
 
88170.6%
 
8.88160.6%
 
108140.6%
 
9.68060.6%
 
98050.6%
 
8.98020.6%
 
Other values (3131)10453380.3%
 
(Missing)1742913.4%
 
ValueCountFrequency (%) 
1.25880.5%
 
1.211< 0.1%
 
1.231< 0.1%
 
1.242< 0.1%
 
1.281< 0.1%
 
ValueCountFrequency (%) 
46.085640.4%
 
461< 0.1%
 
45.95< 0.1%
 
45.85< 0.1%
 
45.771< 0.1%
 

d1_wbc_min
Real number (ℝ≥0)

MISSING

Distinct count2810
Unique (%)2.5%
Missing17429
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean11.298566922148892
Minimum0.9
Maximum40.898
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:22.643803image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile4.3
Q17.4
median10.1
Q313.7
95-th percentile22.3
Maximum40.898
Range39.998
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation5.924633237
Coefficient of variation (CV)0.5243703275
Kurtosis4.753043556
Mean11.29856692
Median Absolute Deviation (MAD)3
Skewness1.702241985
Sum1273664.852
Variance35.10127899
2021-01-30T16:53:22.774494image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.49480.7%
 
8.89370.7%
 
7.89360.7%
 
89330.7%
 
9.29180.7%
 
8.69160.7%
 
7.99160.7%
 
7.69130.7%
 
8.19040.7%
 
7.29020.7%
 
Other values (2800)10350579.5%
 
(Missing)1742913.4%
 
ValueCountFrequency (%) 
0.95920.5%
 
0.921< 0.1%
 
0.941< 0.1%
 
0.952< 0.1%
 
0.972< 0.1%
 
ValueCountFrequency (%) 
40.8985640.4%
 
40.891< 0.1%
 
40.86< 0.1%
 
40.761< 0.1%
 
40.72< 0.1%
 

h1_albumin_max
Real number (ℝ≥0)

MISSING

Distinct count38
Unique (%)0.3%
Missing119005
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean3.008562589670014
Minimum1.1
Maximum4.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:22.916171image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.7
Q12.5
median3.1
Q33.5
95-th percentile4.2
Maximum4.7
Range3.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7381698107
Coefficient of variation (CV)0.2453563084
Kurtosis-0.3585714247
Mean3.00856259
Median Absolute Deviation (MAD)0.5
Skewness-0.2412540275
Sum33551.49
Variance0.5448946694
2021-01-30T16:53:23.045693image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.26020.5%
 
3.35830.4%
 
3.45750.4%
 
35740.4%
 
3.15590.4%
 
3.55380.4%
 
2.85310.4%
 
2.95250.4%
 
2.64930.4%
 
2.74930.4%
 
Other values (28)56794.4%
 
(Missing)11900591.4%
 
ValueCountFrequency (%) 
1.11120.1%
 
1.233< 0.1%
 
1.345< 0.1%
 
1.460< 0.1%
 
1.5940.1%
 
ValueCountFrequency (%) 
4.753< 0.1%
 
4.648< 0.1%
 
4.550< 0.1%
 
4.4830.1%
 
4.31360.1%
 

h1_albumin_min
Real number (ℝ≥0)

MISSING

Distinct count37
Unique (%)0.3%
Missing119005
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean3.0072543041606883
Minimum1.1
Maximum4.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:23.178588image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.7
Q12.5
median3.1
Q33.5
95-th percentile4.2
Maximum4.7
Range3.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7384566264
Coefficient of variation (CV)0.2455584236
Kurtosis-0.3589135118
Mean3.007254304
Median Absolute Deviation (MAD)0.5
Skewness-0.2409831657
Sum33536.9
Variance0.5453181891
2021-01-30T16:53:23.307356image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.26000.5%
 
3.35840.4%
 
3.45740.4%
 
35740.4%
 
3.15630.4%
 
3.55360.4%
 
2.85300.4%
 
2.95220.4%
 
2.64960.4%
 
2.74950.4%
 
Other values (27)56784.4%
 
(Missing)11900591.4%
 
ValueCountFrequency (%) 
1.11130.1%
 
1.233< 0.1%
 
1.345< 0.1%
 
1.461< 0.1%
 
1.5940.1%
 
ValueCountFrequency (%) 
4.753< 0.1%
 
4.647< 0.1%
 
4.549< 0.1%
 
4.4850.1%
 
4.31340.1%
 

h1_bilirubin_max
Real number (ℝ≥0)

MISSING

Distinct count314
Unique (%)3.0%
Missing119861
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean1.1879788267288267
Minimum0.2
Maximum58.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:23.439663image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.2
Q10.4
median0.7
Q31.1
95-th percentile3.3
Maximum58
Range57.8
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.375772498
Coefficient of variation (CV)1.999844143
Kurtosis109.5217042
Mean1.187978827
Median Absolute Deviation (MAD)0.3
Skewness8.83704679
Sum12231.43
Variance5.644294963
2021-01-30T16:53:23.564993image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.412491.0%
 
0.511250.9%
 
0.310630.8%
 
0.69020.7%
 
0.77860.6%
 
0.86610.5%
 
0.25750.4%
 
0.95560.4%
 
14350.3%
 
1.13390.3%
 
Other values (304)26052.0%
 
(Missing)11986192.1%
 
ValueCountFrequency (%) 
0.25750.4%
 
0.211< 0.1%
 
0.224< 0.1%
 
0.234< 0.1%
 
0.245< 0.1%
 
ValueCountFrequency (%) 
581< 0.1%
 
40.41< 0.1%
 
38.41< 0.1%
 
37.81< 0.1%
 
36.41< 0.1%
 

h1_bilirubin_min
Real number (ℝ≥0)

MISSING

Distinct count314
Unique (%)3.0%
Missing119861
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean1.1871726884226885
Minimum0.2
Maximum58.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:23.696680image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.2
Q10.4
median0.7
Q31.1
95-th percentile3.3
Maximum58
Range57.8
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.37522342
Coefficient of variation (CV)2.000739608
Kurtosis109.6266902
Mean1.187172688
Median Absolute Deviation (MAD)0.3
Skewness8.841708881
Sum12223.13
Variance5.641686294
2021-01-30T16:53:23.828583image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.412471.0%
 
0.511260.9%
 
0.310670.8%
 
0.69070.7%
 
0.77830.6%
 
0.86590.5%
 
0.25760.4%
 
0.95580.4%
 
14350.3%
 
1.13370.3%
 
Other values (304)26012.0%
 
(Missing)11986192.1%
 
ValueCountFrequency (%) 
0.25760.4%
 
0.211< 0.1%
 
0.224< 0.1%
 
0.234< 0.1%
 
0.245< 0.1%
 
ValueCountFrequency (%) 
581< 0.1%
 
40.41< 0.1%
 
38.41< 0.1%
 
37.81< 0.1%
 
36.41< 0.1%
 

h1_bun_max
Real number (ℝ≥0)

MISSING

Distinct count259
Unique (%)1.0%
Missing104990
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean25.631219851392697
Minimum4.0
Maximum135.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:23.966805image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q113
median18
Q330
95-th percentile71
Maximum135
Range131
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.37758934
Coefficient of variation (CV)0.8340449445
Kurtosis6.501937194
Mean25.63121985
Median Absolute Deviation (MAD)7
Skewness2.339392212
Sum645060.91
Variance457.0013259
2021-01-30T16:53:24.098705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1312501.0%
 
1412461.0%
 
1211950.9%
 
1511920.9%
 
1110790.8%
 
1610430.8%
 
1710270.8%
 
109340.7%
 
189050.7%
 
98470.7%
 
Other values (249)1444911.1%
 
(Missing)10499080.7%
 
ValueCountFrequency (%) 
42310.2%
 
4.11< 0.1%
 
4.21< 0.1%
 
52300.2%
 
5.81< 0.1%
 
ValueCountFrequency (%) 
1351230.1%
 
1347< 0.1%
 
1329< 0.1%
 
1316< 0.1%
 
1303< 0.1%
 

h1_bun_min
Real number (ℝ≥0)

MISSING

Distinct count259
Unique (%)1.0%
Missing104990
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean25.606373822863272
Minimum4.0
Maximum135.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:24.243006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q113
median18
Q330
95-th percentile70.85
Maximum135
Range131
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.36067598
Coefficient of variation (CV)0.83419371
Kurtosis6.520807682
Mean25.60637382
Median Absolute Deviation (MAD)7
Skewness2.34177842
Sum644435.61
Variance456.2784783
2021-01-30T16:53:24.380761image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1312491.0%
 
1412481.0%
 
1211950.9%
 
1511930.9%
 
1110790.8%
 
1610400.8%
 
1710300.8%
 
109370.7%
 
189050.7%
 
98480.7%
 
Other values (249)1444311.1%
 
(Missing)10499080.7%
 
ValueCountFrequency (%) 
42310.2%
 
4.11< 0.1%
 
4.21< 0.1%
 
52320.2%
 
5.81< 0.1%
 
ValueCountFrequency (%) 
1351230.1%
 
1347< 0.1%
 
1328< 0.1%
 
1316< 0.1%
 
1304< 0.1%
 

h1_calcium_max
Real number (ℝ≥0)

MISSING

Distinct count59
Unique (%)0.2%
Missing105921
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean8.274174781317049
Minimum5.6
Maximum11.4
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:24.518982image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.8
Q17.7
median8.3
Q38.8
95-th percentile9.7
Maximum11.4
Range5.8
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.8927867183
Coefficient of variation (CV)0.1079003939
Kurtosis0.8248635524
Mean8.274174781
Median Absolute Deviation (MAD)0.5
Skewness0.02162693766
Sum200532.9
Variance0.7970681244
2021-01-30T16:53:24.654550image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.412441.0%
 
8.312411.0%
 
8.111700.9%
 
8.211440.9%
 
8.611230.9%
 
8.511190.9%
 
811080.9%
 
7.910480.8%
 
8.79950.8%
 
8.89780.8%
 
Other values (49)1306610.0%
 
(Missing)10592181.4%
 
ValueCountFrequency (%) 
5.61590.1%
 
5.725< 0.1%
 
5.821< 0.1%
 
5.942< 0.1%
 
651< 0.1%
 
ValueCountFrequency (%) 
11.41080.1%
 
11.315< 0.1%
 
11.223< 0.1%
 
11.111< 0.1%
 
1111< 0.1%
 

h1_calcium_min
Real number (ℝ≥0)

MISSING

Distinct count62
Unique (%)0.3%
Missing105921
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean8.265049100511634
Minimum5.3
Maximum11.315
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:24.792274image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile6.8
Q17.7
median8.3
Q38.8
95-th percentile9.7
Maximum11.315
Range6.015
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.9054886529
Coefficient of variation (CV)0.1095563549
Kurtosis0.971449052
Mean8.265049101
Median Absolute Deviation (MAD)0.6
Skewness-0.05767438359
Sum200311.73
Variance0.8199097005
2021-01-30T16:53:24.925713image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.312360.9%
 
8.412300.9%
 
8.111710.9%
 
8.211380.9%
 
8.611190.9%
 
8.511160.9%
 
811050.8%
 
7.910460.8%
 
8.79970.8%
 
8.89750.7%
 
Other values (52)1310310.1%
 
(Missing)10592181.4%
 
ValueCountFrequency (%) 
5.31280.1%
 
5.422< 0.1%
 
5.524< 0.1%
 
5.622< 0.1%
 
5.725< 0.1%
 
ValueCountFrequency (%) 
11.3151220.1%
 
11.315< 0.1%
 
11.221< 0.1%
 
11.111< 0.1%
 
1111< 0.1%
 

h1_creatinine_max
Real number (ℝ≥0)

MISSING

Distinct count879
Unique (%)3.5%
Missing104784
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean1.5265817443739411
Minimum0.33
Maximum11.6042
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:25.067295image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile0.53
Q10.78
median1.01
Q31.54
95-th percentile4.5
Maximum11.6042
Range11.2742
Interquartile range (IQR)0.76

Descriptive statistics

Standard deviation1.572771395
Coefficient of variation (CV)1.030256913
Kurtosis15.88293973
Mean1.526581744
Median Absolute Deviation (MAD)0.31
Skewness3.650227746
Sum38733.9586
Variance2.47360986
2021-01-30T16:53:25.204657image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.98720.7%
 
0.88670.7%
 
0.77910.6%
 
17240.6%
 
1.15590.4%
 
0.65180.4%
 
1.24470.3%
 
1.33430.3%
 
0.52910.2%
 
1.42780.2%
 
Other values (869)1968315.1%
 
(Missing)10478480.5%
 
ValueCountFrequency (%) 
0.331280.1%
 
0.3412< 0.1%
 
0.3521< 0.1%
 
0.3622< 0.1%
 
0.3720< 0.1%
 
ValueCountFrequency (%) 
11.60421280.1%
 
11.61< 0.1%
 
11.551< 0.1%
 
11.52< 0.1%
 
11.491< 0.1%
 

h1_creatinine_min
Real number (ℝ≥0)

MISSING

Distinct count876
Unique (%)3.5%
Missing104784
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean1.5243388247349545
Minimum0.33
Maximum11.571
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:25.342142image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile0.53
Q10.78
median1.01
Q31.53
95-th percentile4.5
Maximum11.571
Range11.241
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.570069651
Coefficient of variation (CV)1.030000434
Kurtosis15.86941539
Mean1.524338825
Median Absolute Deviation (MAD)0.31
Skewness3.64933974
Sum38677.049
Variance2.46511871
2021-01-30T16:53:25.466318image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.88670.7%
 
0.98630.7%
 
0.77900.6%
 
17280.6%
 
1.15560.4%
 
0.65200.4%
 
1.24440.3%
 
1.33420.3%
 
0.52950.2%
 
1.42760.2%
 
Other values (866)1969215.1%
 
(Missing)10478480.5%
 
ValueCountFrequency (%) 
0.331310.1%
 
0.3411< 0.1%
 
0.3521< 0.1%
 
0.3624< 0.1%
 
0.3720< 0.1%
 
ValueCountFrequency (%) 
11.5711280.1%
 
11.551< 0.1%
 
11.52< 0.1%
 
11.491< 0.1%
 
11.431< 0.1%
 

h1_glucose_max
Real number (ℝ≥0)

MISSING

Distinct count612
Unique (%)1.1%
Missing75073
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean167.7026246278411
Minimum59.0
Maximum695.045
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:25.603912image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile83
Q1111
median140
Q3189
95-th percentile357
Maximum695.045
Range636.045
Interquartile range (IQR)78

Descriptive statistics

Standard deviation94.0334611
Coefficient of variation (CV)0.5607155005
Kurtosis8.184433475
Mean167.7026246
Median Absolute Deviation (MAD)35
Skewness2.500885298
Sum9237731.375
Variance8842.291807
2021-01-30T16:53:25.732672image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1195190.4%
 
1055130.4%
 
1135120.4%
 
1235110.4%
 
1275100.4%
 
1205040.4%
 
1164990.4%
 
1084970.4%
 
1284970.4%
 
1244960.4%
 
Other values (602)5002638.4%
 
(Missing)7507357.7%
 
ValueCountFrequency (%) 
593020.2%
 
6028< 0.1%
 
6127< 0.1%
 
6234< 0.1%
 
6346< 0.1%
 
ValueCountFrequency (%) 
695.0452750.2%
 
6952< 0.1%
 
6941< 0.1%
 
6932< 0.1%
 
6922< 0.1%
 

h1_glucose_min
Real number (ℝ≥0)

MISSING

Distinct count604
Unique (%)1.1%
Missing75073
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean158.908793842132
Minimum42.0
Maximum670.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:25.869874image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile78
Q1106
median134
Q3179
95-th percentile334
Maximum670
Range628
Interquartile range (IQR)73

Descriptive statistics

Standard deviation88.29882683
Coefficient of variation (CV)0.5556572717
Kurtosis8.604460708
Mean158.9087938
Median Absolute Deviation (MAD)33
Skewness2.506605336
Sum8753332
Variance7796.68282
2021-01-30T16:53:25.999091image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1195590.4%
 
1055540.4%
 
1085540.4%
 
1135470.4%
 
1165310.4%
 
1105280.4%
 
1095250.4%
 
1245210.4%
 
1185190.4%
 
1115190.4%
 
Other values (594)4972738.2%
 
(Missing)7507357.7%
 
ValueCountFrequency (%) 
422860.2%
 
4316< 0.1%
 
4412< 0.1%
 
4519< 0.1%
 
4636< 0.1%
 
ValueCountFrequency (%) 
6702740.2%
 
6691< 0.1%
 
6661< 0.1%
 
6651< 0.1%
 
6644< 0.1%
 

h1_hco3_max
Real number (ℝ≥0)

MISSING

Distinct count224
Unique (%)0.9%
Missing106395
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean22.5441124484471
Minimum6.0
Maximum39.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:26.145638image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13
Q120
median23
Q325
95-th percentile30
Maximum39
Range33
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.138495032
Coefficient of variation (CV)0.2279306867
Kurtosis1.424641777
Mean22.54411245
Median Absolute Deviation (MAD)3
Skewness-0.4160260702
Sum535693.2
Variance26.4041312
2021-01-30T16:53:26.280128image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2324821.9%
 
2424361.9%
 
2222241.7%
 
2520841.6%
 
2118101.4%
 
2616141.2%
 
2014161.1%
 
2712220.9%
 
1910510.8%
 
288940.7%
 
Other values (214)65295.0%
 
(Missing)10639581.7%
 
ValueCountFrequency (%) 
62120.2%
 
6.92< 0.1%
 
7990.1%
 
7.91< 0.1%
 
81120.1%
 
ValueCountFrequency (%) 
391080.1%
 
38.11< 0.1%
 
3835< 0.1%
 
37.81< 0.1%
 
37.62< 0.1%
 

h1_hco3_min
Real number (ℝ≥0)

MISSING

Distinct count211
Unique (%)0.9%
Missing106395
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean22.486145947310835
Minimum6.0
Maximum39.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:26.422908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13
Q120
median23
Q325
95-th percentile30
Maximum39
Range33
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.144693383
Coefficient of variation (CV)0.2287939158
Kurtosis1.413926309
Mean22.48614595
Median Absolute Deviation (MAD)3
Skewness-0.4124614837
Sum534315.8
Variance26.46787001
2021-01-30T16:53:26.552552image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2325221.9%
 
2424391.9%
 
2222431.7%
 
2520781.6%
 
2118351.4%
 
2616161.2%
 
2014261.1%
 
2712140.9%
 
1910580.8%
 
288920.7%
 
Other values (201)64394.9%
 
(Missing)10639581.7%
 
ValueCountFrequency (%) 
62140.2%
 
6.71< 0.1%
 
6.92< 0.1%
 
71010.1%
 
7.91< 0.1%
 
ValueCountFrequency (%) 
391050.1%
 
38.11< 0.1%
 
3837< 0.1%
 
37.81< 0.1%
 
37.61< 0.1%
 

h1_hemaglobin_max
Real number (ℝ≥0)

MISSING

Distinct count124
Unique (%)0.5%
Missing102790
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean11.2041656009062
Minimum5.1
Maximum17.4
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:26.694757image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile7.4
Q19.6
median11.2
Q312.8
95-th percentile15.1
Maximum17.4
Range12.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.350632865
Coefficient of variation (CV)0.2097999037
Kurtosis-0.2759204632
Mean11.2041656
Median Absolute Deviation (MAD)1.6
Skewness0.04563173851
Sum306624.4
Variance5.525474864
2021-01-30T16:53:26.821545image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10.94930.4%
 
11.24800.4%
 
11.64670.4%
 
10.54610.4%
 
11.54530.3%
 
11.44520.3%
 
10.64490.3%
 
10.74480.3%
 
11.34480.3%
 
10.24430.3%
 
Other values (114)2277317.5%
 
(Missing)10279079.0%
 
ValueCountFrequency (%) 
5.11540.1%
 
5.213< 0.1%
 
5.310< 0.1%
 
5.426< 0.1%
 
5.519< 0.1%
 
ValueCountFrequency (%) 
17.41260.1%
 
17.317< 0.1%
 
17.222< 0.1%
 
17.126< 0.1%
 
1722< 0.1%
 

h1_hemaglobin_min
Real number (ℝ≥0)

MISSING

Distinct count124
Unique (%)0.5%
Missing102790
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean11.088204772170862
Minimum5.0
Maximum17.3
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:26.952081image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.3
Q19.4
median11.1
Q312.8
95-th percentile15.1
Maximum17.3
Range12.3
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.381224155
Coefficient of variation (CV)0.2147529022
Kurtosis-0.3276439493
Mean11.08820477
Median Absolute Deviation (MAD)1.7
Skewness0.05747225721
Sum303450.9
Variance5.670228477
2021-01-30T16:53:27.073826image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11.25080.4%
 
11.64630.4%
 
10.24630.4%
 
10.94590.4%
 
9.94580.4%
 
10.54540.3%
 
8.84390.3%
 
11.54350.3%
 
11.34310.3%
 
10.74310.3%
 
Other values (114)2282617.5%
 
(Missing)10279079.0%
 
ValueCountFrequency (%) 
51620.1%
 
5.115< 0.1%
 
5.215< 0.1%
 
5.39< 0.1%
 
5.434< 0.1%
 
ValueCountFrequency (%) 
17.31280.1%
 
17.220< 0.1%
 
17.125< 0.1%
 
1721< 0.1%
 
16.920< 0.1%
 

h1_hematocrit_max
Real number (ℝ≥0)

MISSING

Distinct count358
Unique (%)1.3%
Missing102956
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean33.73182971214293
Minimum16.0
Maximum51.7
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:27.199949image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile22.7
Q129
median33.7
Q338.5
95-th percentile45
Maximum51.7
Range35.7
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.804902703
Coefficient of variation (CV)0.2017353568
Kurtosis-0.248416287
Mean33.73182971
Median Absolute Deviation (MAD)4.7
Skewness0.02319410737
Sum917539.5
Variance46.3067008
2021-01-30T16:53:27.331463image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
333430.3%
 
323260.3%
 
313160.2%
 
343110.2%
 
352910.2%
 
302910.2%
 
362840.2%
 
292740.2%
 
382700.2%
 
392630.2%
 
Other values (348)2423218.6%
 
(Missing)10295679.1%
 
ValueCountFrequency (%) 
161440.1%
 
16.110< 0.1%
 
16.23< 0.1%
 
16.32< 0.1%
 
16.410< 0.1%
 
ValueCountFrequency (%) 
51.71320.1%
 
51.64< 0.1%
 
51.57< 0.1%
 
51.44< 0.1%
 
51.38< 0.1%
 

h1_hematocrit_min
Real number (ℝ≥0)

MISSING

Distinct count361
Unique (%)1.3%
Missing102956
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean33.3497959633837
Minimum15.5
Maximum51.5
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:27.469015image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum15.5
5-th percentile22
Q128.4
median33.3
Q338.2
95-th percentile44.8
Maximum51.5
Range36
Interquartile range (IQR)9.8

Descriptive statistics

Standard deviation6.963974528
Coefficient of variation (CV)0.208816106
Kurtosis-0.3255432854
Mean33.34979596
Median Absolute Deviation (MAD)4.9
Skewness0.02564948965
Sum907147.8
Variance48.49694123
2021-01-30T16:53:27.604237image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
333610.3%
 
263600.3%
 
313580.3%
 
293360.3%
 
283320.3%
 
323280.3%
 
303260.3%
 
343250.2%
 
362880.2%
 
352830.2%
 
Other values (351)2390418.4%
 
(Missing)10295679.1%
 
ValueCountFrequency (%) 
15.51450.1%
 
15.67< 0.1%
 
15.72< 0.1%
 
15.82< 0.1%
 
15.94< 0.1%
 
ValueCountFrequency (%) 
51.51290.1%
 
51.44< 0.1%
 
51.37< 0.1%
 
51.29< 0.1%
 
51.19< 0.1%
 

h1_inr_max
Real number (ℝ≥0)

MISSING

Distinct count517
Unique (%)1.1%
Missing81213
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean1.5777884929715595
Minimum0.9
Maximum7.756
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:27.751638image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.1
median1.3
Q31.6
95-th percentile3.3
Maximum7.756
Range6.856
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9464772196
Coefficient of variation (CV)0.599875854
Kurtosis16.05496208
Mean1.577788493
Median Absolute Deviation (MAD)0.2
Skewness3.627099856
Sum77223.28
Variance0.8958191273
2021-01-30T16:53:27.891289image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.172955.6%
 
1.260974.7%
 
149323.8%
 
1.341553.2%
 
1.432582.5%
 
1.520841.6%
 
1.616201.2%
 
1.711120.9%
 
1.89110.7%
 
0.97920.6%
 
Other values (507)1668812.8%
 
(Missing)8121362.4%
 
ValueCountFrequency (%) 
0.97920.6%
 
0.9123< 0.1%
 
0.9237< 0.1%
 
0.9351< 0.1%
 
0.9441< 0.1%
 
ValueCountFrequency (%) 
7.7562450.2%
 
7.79< 0.1%
 
7.691< 0.1%
 
7.661< 0.1%
 
7.641< 0.1%
 

h1_inr_min
Real number (ℝ≥0)

MISSING

Distinct count415
Unique (%)0.8%
Missing81213
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean1.46347284651847
Minimum0.9
Maximum6.127
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:28.038908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.1
median1.2
Q31.5
95-th percentile2.9
Maximum6.127
Range5.227
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.7376387677
Coefficient of variation (CV)0.5040331083
Kurtosis14.66971936
Mean1.463472847
Median Absolute Deviation (MAD)0.19
Skewness3.469714908
Sum71628.215
Variance0.5441109517
2021-01-30T16:53:28.171936image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.180726.2%
 
1.263914.9%
 
157774.4%
 
1.342313.3%
 
1.430802.4%
 
1.518901.5%
 
1.614271.1%
 
0.910400.8%
 
1.79740.7%
 
1.87880.6%
 
Other values (405)1527411.7%
 
(Missing)8121362.4%
 
ValueCountFrequency (%) 
0.910400.8%
 
0.9124< 0.1%
 
0.9244< 0.1%
 
0.9359< 0.1%
 
0.9449< 0.1%
 
ValueCountFrequency (%) 
6.1272450.2%
 
6.122< 0.1%
 
6.114< 0.1%
 
6.091< 0.1%
 
6.051< 0.1%
 

h1_lactate_max
Real number (ℝ≥0)

MISSING

Distinct count599
Unique (%)5.1%
Missing118467
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean3.0281976047904196
Minimum0.4
Maximum18.1
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:28.311821image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.7
Q11.3
median2
Q33.6
95-th percentile9.2
Maximum18.1
Range17.7
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.898524184
Coefficient of variation (CV)0.9571780187
Kurtosis7.383369471
Mean3.028197605
Median Absolute Deviation (MAD)0.9
Skewness2.508920912
Sum35399.63
Variance8.401442444
2021-01-30T16:53:28.452174image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14460.3%
 
1.14270.3%
 
1.24270.3%
 
1.33930.3%
 
1.63850.3%
 
0.93830.3%
 
1.43740.3%
 
1.53650.3%
 
1.83470.3%
 
0.83370.3%
 
Other values (589)78066.0%
 
(Missing)11846791.0%
 
ValueCountFrequency (%) 
0.4700.1%
 
0.441< 0.1%
 
0.451< 0.1%
 
0.492< 0.1%
 
0.51050.1%
 
ValueCountFrequency (%) 
18.158< 0.1%
 
186< 0.1%
 
17.91< 0.1%
 
17.71< 0.1%
 
17.61< 0.1%
 

h1_lactate_min
Real number (ℝ≥0)

MISSING

Distinct count591
Unique (%)5.1%
Missing118467
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean2.976982078699743
Minimum0.4
Maximum18.0195
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:28.619613image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.7
Q11.25
median2
Q33.5
95-th percentile9
Maximum18.0195
Range17.6195
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.854952751
Coefficient of variation (CV)0.9590090487
Kurtosis7.697742563
Mean2.976982079
Median Absolute Deviation (MAD)0.9
Skewness2.550754228
Sum34800.9205
Variance8.150755213
2021-01-30T16:53:28.788006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14560.4%
 
1.24330.3%
 
1.14320.3%
 
1.33980.3%
 
0.93950.3%
 
1.63870.3%
 
1.43780.3%
 
1.53660.3%
 
1.83600.3%
 
0.83500.3%
 
Other values (581)77355.9%
 
(Missing)11846791.0%
 
ValueCountFrequency (%) 
0.4710.1%
 
0.441< 0.1%
 
0.451< 0.1%
 
0.471< 0.1%
 
0.492< 0.1%
 
ValueCountFrequency (%) 
18.019559< 0.1%
 
185< 0.1%
 
17.91< 0.1%
 
17.71< 0.1%
 
17.61< 0.1%
 

h1_platelets_max
Real number (ℝ≥0)

MISSING

Distinct count555
Unique (%)2.3%
Missing105729
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean193.94305714753563
Minimum20.0
Maximum585.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:28.958471image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile74
Q1131
median179
Q3239
95-th percentile366
Maximum585
Range565
Interquartile range (IQR)108

Descriptive statistics

Standard deviation92.48647323
Coefficient of variation (CV)0.4768743702
Kurtosis2.375345008
Mean193.9430571
Median Absolute Deviation (MAD)53
Skewness1.192543166
Sum4737641
Variance8553.74773
2021-01-30T16:53:29.092525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1731560.1%
 
1571410.1%
 
1331390.1%
 
1441380.1%
 
1751380.1%
 
1781380.1%
 
1831370.1%
 
1821360.1%
 
1581360.1%
 
1521350.1%
 
Other values (545)2303417.7%
 
(Missing)10572981.2%
 
ValueCountFrequency (%) 
201270.1%
 
2114< 0.1%
 
226< 0.1%
 
239< 0.1%
 
2417< 0.1%
 
ValueCountFrequency (%) 
5851210.1%
 
5843< 0.1%
 
5831< 0.1%
 
5821< 0.1%
 
5812< 0.1%
 

h1_platelets_min
Real number (ℝ≥0)

MISSING

Distinct count555
Unique (%)2.3%
Missing105729
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean193.1235058130015
Minimum20.0
Maximum585.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:29.233331image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile73
Q1130
median179
Q3238
95-th percentile365
Maximum585
Range565
Interquartile range (IQR)108

Descriptive statistics

Standard deviation92.69275879
Coefficient of variation (CV)0.4799662185
Kurtosis2.357805189
Mean193.1235058
Median Absolute Deviation (MAD)53
Skewness1.190357635
Sum4717621
Variance8591.947533
2021-01-30T16:53:29.365869image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1731530.1%
 
1441410.1%
 
1331410.1%
 
1571400.1%
 
1751390.1%
 
1831390.1%
 
1781380.1%
 
1591360.1%
 
1391350.1%
 
1581340.1%
 
Other values (545)2303217.7%
 
(Missing)10572981.2%
 
ValueCountFrequency (%) 
201310.1%
 
2117< 0.1%
 
226< 0.1%
 
239< 0.1%
 
2415< 0.1%
 
ValueCountFrequency (%) 
5851210.1%
 
5843< 0.1%
 
5831< 0.1%
 
5821< 0.1%
 
5812< 0.1%
 

h1_potassium_max
Real number (ℝ≥0)

MISSING

Distinct count115
Unique (%)0.4%
Missing100821
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean4.188984183256068
Minimum2.5
Maximum7.2
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:29.502018image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.1
Q13.7
median4.1
Q34.5
95-th percentile5.7
Maximum7.2
Range4.7
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.7601831552
Coefficient of variation (CV)0.1814719564
Kurtosis1.804081125
Mean4.188984183
Median Absolute Deviation (MAD)0.4
Skewness0.9649406069
Sum122888.04
Variance0.5778784295
2021-01-30T16:53:29.618879image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.119861.5%
 
419731.5%
 
3.919031.5%
 
3.818631.4%
 
4.218121.4%
 
4.317481.3%
 
3.715981.2%
 
4.414291.1%
 
3.614021.1%
 
4.512821.0%
 
Other values (105)123409.5%
 
(Missing)10082177.5%
 
ValueCountFrequency (%) 
2.51970.2%
 
2.6740.1%
 
2.71160.1%
 
2.81600.1%
 
2.811< 0.1%
 
ValueCountFrequency (%) 
7.21400.1%
 
7.120< 0.1%
 
729< 0.1%
 
6.932< 0.1%
 
6.843< 0.1%
 

h1_potassium_min
Real number (ℝ≥0)

MISSING

Distinct count113
Unique (%)0.4%
Missing100821
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean4.147027883828742
Minimum2.5
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:29.750908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.1
Q13.7
median4.1
Q34.5
95-th percentile5.6
Maximum7.1
Range4.6
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.7494634945
Coefficient of variation (CV)0.180723042
Kurtosis1.797855004
Mean4.147027884
Median Absolute Deviation (MAD)0.4
Skewness0.9516525488
Sum121657.21
Variance0.5616955296
2021-01-30T16:53:29.860055image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.120131.5%
 
3.919451.5%
 
3.819441.5%
 
419401.5%
 
4.217861.4%
 
3.716901.3%
 
4.316521.3%
 
3.614631.1%
 
4.414181.1%
 
3.512941.0%
 
Other values (103)121919.4%
 
(Missing)10082177.5%
 
ValueCountFrequency (%) 
2.52270.2%
 
2.6820.1%
 
2.71320.1%
 
2.81880.1%
 
2.92690.2%
 
ValueCountFrequency (%) 
7.11440.1%
 
723< 0.1%
 
6.929< 0.1%
 
6.841< 0.1%
 
6.750< 0.1%
 

h1_sodium_max
Real number (ℝ≥0)

MISSING

Distinct count99
Unique (%)0.3%
Missing101781
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean138.16720468001128
Minimum114.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:30.006780image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile129
Q1136
median139
Q3141
95-th percentile146
Maximum157
Range43
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.711628391
Coefficient of variation (CV)0.04133852461
Kurtosis3.217820691
Mean138.1672047
Median Absolute Deviation (MAD)3
Skewness-0.8028302187
Sum3920632.6
Variance32.62269888
2021-01-30T16:53:30.125458image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13927252.1%
 
14026432.0%
 
13826212.0%
 
14123521.8%
 
13723051.8%
 
13619421.5%
 
14218831.4%
 
13515561.2%
 
14314351.1%
 
13412431.0%
 
Other values (89)76715.9%
 
(Missing)10178178.2%
 
ValueCountFrequency (%) 
1141780.1%
 
11526< 0.1%
 
11642< 0.1%
 
11746< 0.1%
 
11840< 0.1%
 
ValueCountFrequency (%) 
1571320.1%
 
15627< 0.1%
 
15528< 0.1%
 
15434< 0.1%
 
15359< 0.1%
 

h1_sodium_min
Real number (ℝ≥0)

MISSING

Distinct count113
Unique (%)0.4%
Missing101781
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean137.8798139272625
Minimum114.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:30.247768image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile128
Q1135
median138
Q3141
95-th percentile146
Maximum157
Range43
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.658036201
Coefficient of variation (CV)0.04103600114
Kurtosis3.230482911
Mean137.8798139
Median Absolute Deviation (MAD)3
Skewness-0.8025349745
Sum3912477.6
Variance32.01337365
2021-01-30T16:53:30.356735image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13927752.1%
 
13826842.1%
 
14025652.0%
 
13724301.9%
 
14122161.7%
 
13620611.6%
 
14217581.4%
 
13516601.3%
 
13413461.0%
 
14313071.0%
 
Other values (103)75745.8%
 
(Missing)10178178.2%
 
ValueCountFrequency (%) 
1141830.1%
 
11526< 0.1%
 
11642< 0.1%
 
11747< 0.1%
 
11840< 0.1%
 
ValueCountFrequency (%) 
1571220.1%
 
15619< 0.1%
 
15527< 0.1%
 
15428< 0.1%
 
15355< 0.1%
 

h1_wbc_max
Real number (ℝ≥0)

MISSING

Distinct count2132
Unique (%)8.8%
Missing105986
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean13.387873153779323
Minimum1.1
Maximum44.102
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:30.482868image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile4.8
Q18.6
median12.1
Q316.7
95-th percentile26.5
Maximum44.102
Range43.002
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation6.933160533
Coefficient of variation (CV)0.517868705
Kurtosis2.684110575
Mean13.38787315
Median Absolute Deviation (MAD)3.9
Skewness1.30958275
Sum323598.282
Variance48.06871498
2021-01-30T16:53:30.601633image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10.61760.1%
 
10.11640.1%
 
9.31620.1%
 
10.81590.1%
 
9.61590.1%
 
13.61580.1%
 
9.81580.1%
 
10.71560.1%
 
9.21560.1%
 
12.91550.1%
 
Other values (2122)2256817.3%
 
(Missing)10598681.4%
 
ValueCountFrequency (%) 
1.11270.1%
 
1.111< 0.1%
 
1.131< 0.1%
 
1.181< 0.1%
 
1.191< 0.1%
 
ValueCountFrequency (%) 
44.1021210.1%
 
442< 0.1%
 
43.711< 0.1%
 
43.531< 0.1%
 
43.51< 0.1%
 

h1_wbc_min
Real number (ℝ≥0)

MISSING

Distinct count2128
Unique (%)8.8%
Missing105986
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean13.336484953042904
Minimum1.0898
Maximum44.102
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:30.730853image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.0898
5-th percentile4.8
Q18.5
median12.1
Q316.6
95-th percentile26.4
Maximum44.102
Range43.0122
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation6.915141755
Coefficient of variation (CV)0.5185130699
Kurtosis2.725579412
Mean13.33648495
Median Absolute Deviation (MAD)3.9
Skewness1.317300625
Sum322356.1778
Variance47.81918549
2021-01-30T16:53:30.848978image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10.61730.1%
 
10.11620.1%
 
9.81620.1%
 
10.81610.1%
 
10.71600.1%
 
9.61600.1%
 
9.31590.1%
 
12.91570.1%
 
101570.1%
 
13.61570.1%
 
Other values (2118)2256317.3%
 
(Missing)10598681.4%
 
ValueCountFrequency (%) 
1.08981210.1%
 
1.110< 0.1%
 
1.111< 0.1%
 
1.131< 0.1%
 
1.181< 0.1%
 
ValueCountFrequency (%) 
44.1021210.1%
 
442< 0.1%
 
43.711< 0.1%
 
43.531< 0.1%
 
43.51< 0.1%
 

d1_arterial_pco2_max
Real number (ℝ≥0)

MISSING

Distinct count861
Unique (%)1.9%
Missing84461
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean45.341451111694674
Minimum18.4
Maximum111.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:30.985783image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum18.4
5-th percentile27.6
Q136.2
median42.9
Q350
95-th percentile75
Maximum111
Range92.6
Interquartile range (IQR)13.8

Descriptive statistics

Standard deviation14.62377485
Coefficient of variation (CV)0.3225255145
Kurtosis3.694898087
Mean45.34145111
Median Absolute Deviation (MAD)6.9
Skewness1.58266593
Sum2071922.95
Variance213.8547908
2021-01-30T16:53:31.114437image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4011310.9%
 
4211300.9%
 
4411120.9%
 
4311060.8%
 
4110910.8%
 
3910600.8%
 
4510500.8%
 
3810400.8%
 
469920.8%
 
479310.7%
 
Other values (851)3505326.9%
 
(Missing)8446164.9%
 
ValueCountFrequency (%) 
18.42420.2%
 
18.53< 0.1%
 
18.61< 0.1%
 
18.73< 0.1%
 
18.83< 0.1%
 
ValueCountFrequency (%) 
1112180.2%
 
110.51< 0.1%
 
1105< 0.1%
 
109.72< 0.1%
 
109.11< 0.1%
 

d1_arterial_pco2_min
Real number (ℝ≥0)

MISSING

Distinct count696
Unique (%)1.5%
Missing84461
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean38.53558705357143
Minimum14.9
Maximum85.912
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:31.250409image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum14.9
5-th percentile23.9
Q132
median37
Q343
95-th percentile59.8
Maximum85.912
Range71.012
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.99625378
Coefficient of variation (CV)0.2853532183
Kurtosis2.874371534
Mean38.53558705
Median Absolute Deviation (MAD)5.9
Skewness1.222286547
Sum1760922.186
Variance120.9175973
2021-01-30T16:53:31.391199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3814081.1%
 
3513491.0%
 
3713441.0%
 
3613251.0%
 
3912471.0%
 
3412190.9%
 
3312050.9%
 
4011500.9%
 
4111070.9%
 
3210920.8%
 
Other values (686)3325025.5%
 
(Missing)8446164.9%
 
ValueCountFrequency (%) 
14.92300.2%
 
1536< 0.1%
 
15.15< 0.1%
 
15.29< 0.1%
 
15.33< 0.1%
 
ValueCountFrequency (%) 
85.9122280.2%
 
85.91< 0.1%
 
85.72< 0.1%
 
85.61< 0.1%
 
85.32< 0.1%
 

d1_arterial_ph_max
Real number (ℝ≥0)

MISSING

Distinct count542
Unique (%)1.2%
Missing84807
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean7.387687327894156
Minimum7.05428
Maximum7.62
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:31.529773image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum7.05428
5-th percentile7.24
Q17.34
median7.39
Q37.44
95-th percentile7.52
Maximum7.62
Range0.56572
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.08565115202
Coefficient of variation (CV)0.01159377058
Kurtosis1.673118373
Mean7.387687328
Median Absolute Deviation (MAD)0.05
Skewness-0.6069419269
Sum335031.6203
Variance0.007336119843
2021-01-30T16:53:31.660841image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.417661.4%
 
7.3817511.3%
 
7.3916901.3%
 
7.4116781.3%
 
7.4216071.2%
 
7.3715901.2%
 
7.3615401.2%
 
7.4314731.1%
 
7.4414281.1%
 
7.3513241.0%
 
Other values (532)2950322.7%
 
(Missing)8480765.2%
 
ValueCountFrequency (%) 
7.054282690.2%
 
7.0561< 0.1%
 
7.0581< 0.1%
 
7.0592< 0.1%
 
7.0621< 0.1%
 
ValueCountFrequency (%) 
7.622010.2%
 
7.6191< 0.1%
 
7.6183< 0.1%
 
7.6172< 0.1%
 
7.6162< 0.1%
 

d1_arterial_ph_min
Real number (ℝ≥0)

MISSING

Distinct count635
Unique (%)1.4%
Missing84807
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean7.322903469900773
Minimum6.89
Maximum7.55786
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:31.798671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.89
5-th percentile7.11
Q17.27
median7.34
Q37.398
95-th percentile7.472
Maximum7.55786
Range0.66786
Interquartile range (IQR)0.128

Descriptive statistics

Standard deviation0.111530397
Coefficient of variation (CV)0.01523035193
Kurtosis1.767592124
Mean7.32290347
Median Absolute Deviation (MAD)0.06
Skewness-1.02813857
Sum332093.6724
Variance0.01243902946
2021-01-30T16:53:31.926390image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.3414091.1%
 
7.3514021.1%
 
7.3613891.1%
 
7.3313581.0%
 
7.3813541.0%
 
7.3713331.0%
 
7.3213221.0%
 
7.3912601.0%
 
7.3112551.0%
 
7.312541.0%
 
Other values (625)3201424.6%
 
(Missing)8480765.2%
 
ValueCountFrequency (%) 
6.892410.2%
 
6.8922< 0.1%
 
6.8941< 0.1%
 
6.8971< 0.1%
 
6.8981< 0.1%
 
ValueCountFrequency (%) 
7.557862260.2%
 
7.5571< 0.1%
 
7.5561< 0.1%
 
7.5551< 0.1%
 
7.5544< 0.1%
 

d1_arterial_po2_max
Real number (ℝ≥0)

MISSING

Distinct count2546
Unique (%)5.5%
Missing84010
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean165.0038142241099
Minimum39.0
Maximum540.865
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:32.062564image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile62
Q188
median127
Q3206
95-th percentile404.91
Maximum540.865
Range501.865
Interquartile range (IQR)118

Descriptive statistics

Standard deviation107.0840582
Coefficient of variation (CV)0.6489792897
Kurtosis1.569205822
Mean165.0038142
Median Absolute Deviation (MAD)47
Skewness1.455734724
Sum7614431.015
Variance11466.99551
2021-01-30T16:53:32.177717image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
823590.3%
 
883430.3%
 
813400.3%
 
913220.2%
 
853170.2%
 
783170.2%
 
773150.2%
 
843120.2%
 
833100.2%
 
903060.2%
 
Other values (2536)4290633.0%
 
(Missing)8401064.5%
 
ValueCountFrequency (%) 
392450.2%
 
39.11< 0.1%
 
39.32< 0.1%
 
39.53< 0.1%
 
4026< 0.1%
 
ValueCountFrequency (%) 
540.8652310.2%
 
5401< 0.1%
 
539.41< 0.1%
 
5394< 0.1%
 
5384< 0.1%
 

d1_arterial_po2_min
Real number (ℝ≥0)

MISSING

Distinct count1883
Unique (%)4.1%
Missing84010
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean102.95747615229592
Minimum28.0
Maximum448.892
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:32.307866image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile47.33
Q168
median85
Q3116.25
95-th percentile218
Maximum448.892
Range420.892
Interquartile range (IQR)48.25

Descriptive statistics

Standard deviation61.51435667
Coefficient of variation (CV)0.5974734324
Kurtosis9.756947392
Mean102.9574762
Median Absolute Deviation (MAD)21
Skewness2.726654012
Sum4751178.652
Variance3784.016077
2021-01-30T16:53:32.424199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
716140.5%
 
695990.5%
 
685730.4%
 
735720.4%
 
705700.4%
 
655670.4%
 
755560.4%
 
775540.4%
 
725540.4%
 
765370.4%
 
Other values (1873)4045131.1%
 
(Missing)8401064.5%
 
ValueCountFrequency (%) 
282650.2%
 
28.12< 0.1%
 
28.31< 0.1%
 
28.41< 0.1%
 
28.62< 0.1%
 
ValueCountFrequency (%) 
448.8922310.2%
 
448.21< 0.1%
 
4485< 0.1%
 
4471< 0.1%
 
4463< 0.1%
 

d1_pao2fio2ratio_max
Real number (ℝ≥0)

MISSING

Distinct count5602
Unique (%)15.2%
Missing93339
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean287.6000708176851
Minimum54.8
Maximum834.805
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:32.555175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum54.8
5-th percentile98.59571429
Q1192.2055555
median275
Q3370
95-th percentile507.5
Maximum834.805
Range780.005
Interquartile range (IQR)177.7944445

Descriptive statistics

Standard deviation130.3196205
Coefficient of variation (CV)0.4531279151
Kurtosis1.163485874
Mean287.6000708
Median Absolute Deviation (MAD)88
Skewness0.755334366
Sum10588859.41
Variance16983.20348
2021-01-30T16:53:32.685614image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3002080.2%
 
2002040.2%
 
2501910.1%
 
2601890.1%
 
54.81870.1%
 
834.8051860.1%
 
2801810.1%
 
2401810.1%
 
2201740.1%
 
1801720.1%
 
Other values (5592)3494526.8%
 
(Missing)9333971.7%
 
ValueCountFrequency (%) 
54.81870.1%
 
5514< 0.1%
 
55.294117651< 0.1%
 
55.41< 0.1%
 
55.71< 0.1%
 
ValueCountFrequency (%) 
834.8051860.1%
 
8341< 0.1%
 
833.33333333< 0.1%
 
8331< 0.1%
 
828.57142862< 0.1%
 

d1_pao2fio2ratio_min
Real number (ℝ≥0)

MISSING

Distinct count5320
Unique (%)14.4%
Missing93339
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean224.00540299962518
Minimum36.0
Maximum604.2277778
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:33.509945image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile62
Q1132
median205
Q3300
95-th percentile446.6666667
Maximum604.2277778
Range568.2277778
Interquartile range (IQR)168

Descriptive statistics

Standard deviation119.1196748
Coefficient of variation (CV)0.531771436
Kurtosis-0.02777845696
Mean224.005403
Median Absolute Deviation (MAD)82.1428571
Skewness0.6714171879
Sum8247430.928
Variance14189.49693
2021-01-30T16:53:33.641366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2002380.2%
 
1602090.2%
 
1802080.2%
 
2201970.2%
 
2501920.1%
 
361920.1%
 
604.22777781860.1%
 
1901790.1%
 
2101770.1%
 
1401740.1%
 
Other values (5310)3486626.8%
 
(Missing)9333971.7%
 
ValueCountFrequency (%) 
361920.1%
 
36.11< 0.1%
 
36.251< 0.1%
 
36.458333331< 0.1%
 
36.62< 0.1%
 
ValueCountFrequency (%) 
604.22777781860.1%
 
603.33333331< 0.1%
 
6022< 0.1%
 
6003< 0.1%
 
5991< 0.1%
 

h1_arterial_pco2_max
Real number (ℝ≥0)

MISSING

Distinct count826
Unique (%)3.7%
Missing107666
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean44.55296607531902
Minimum15.0
Maximum111.505
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:33.769576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26.5
Q136
median42
Q349
95-th percentile73.9
Maximum111.505
Range96.505
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.63135869
Coefficient of variation (CV)0.3284036951
Kurtosis4.108559136
Mean44.55296608
Median Absolute Deviation (MAD)6.6
Skewness1.604021543
Sum1002040.76
Variance214.076657
2021-01-30T16:53:33.885236image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
416060.5%
 
396000.5%
 
385920.5%
 
405910.5%
 
445800.4%
 
425730.4%
 
435580.4%
 
455360.4%
 
465330.4%
 
375170.4%
 
Other values (816)1680512.9%
 
(Missing)10766682.7%
 
ValueCountFrequency (%) 
151140.1%
 
15.11< 0.1%
 
15.23< 0.1%
 
15.31< 0.1%
 
15.42< 0.1%
 
ValueCountFrequency (%) 
111.5051120.1%
 
111.51< 0.1%
 
1116< 0.1%
 
1103< 0.1%
 
109.72< 0.1%
 

h1_arterial_pco2_min
Real number (ℝ≥0)

MISSING

Distinct count811
Unique (%)3.6%
Missing107666
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean43.34108056555955
Minimum14.997
Maximum107.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:34.015518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum14.997
5-th percentile26
Q135
median41
Q348
95-th percentile71.35
Maximum107
Range92.003
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.05201463
Coefficient of variation (CV)0.3242192961
Kurtosis4.01157533
Mean43.34108057
Median Absolute Deviation (MAD)6
Skewness1.598756174
Sum974784.243
Variance197.4591152
2021-01-30T16:53:34.148537image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
396660.5%
 
386530.5%
 
406260.5%
 
375940.5%
 
415930.5%
 
425800.4%
 
435450.4%
 
365440.4%
 
445370.4%
 
355290.4%
 
Other values (801)1662412.8%
 
(Missing)10766682.7%
 
ValueCountFrequency (%) 
14.9971190.1%
 
1510< 0.1%
 
15.11< 0.1%
 
15.23< 0.1%
 
15.31< 0.1%
 
ValueCountFrequency (%) 
1071060.1%
 
106.71< 0.1%
 
106.41< 0.1%
 
1062< 0.1%
 
105.61< 0.1%
 

h1_arterial_ph_max
Real number (ℝ≥0)

MISSING

Distinct count580
Unique (%)2.6%
Missing107849
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean7.3372832167832165
Minimum6.93
Maximum7.57
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:34.294527image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.93
5-th percentile7.14
Q17.29
median7.35
Q37.408
95-th percentile7.48
Maximum7.57
Range0.64
Interquartile range (IQR)0.118

Descriptive statistics

Standard deviation0.1059299935
Coefficient of variation (CV)0.01443722293
Kurtosis1.733084594
Mean7.337283217
Median Absolute Deviation (MAD)0.06
Skewness-0.9843753929
Sum163680.114
Variance0.01122116352
2021-01-30T16:53:34.430014image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.367320.6%
 
7.347280.6%
 
7.387270.6%
 
7.377200.6%
 
7.357100.5%
 
7.396940.5%
 
7.46880.5%
 
7.326620.5%
 
7.336500.5%
 
7.416110.5%
 
Other values (570)1538611.8%
 
(Missing)10784982.9%
 
ValueCountFrequency (%) 
6.931400.1%
 
6.9311< 0.1%
 
6.9371< 0.1%
 
6.9411< 0.1%
 
6.9451< 0.1%
 
ValueCountFrequency (%) 
7.57970.1%
 
7.5692< 0.1%
 
7.5681< 0.1%
 
7.5672< 0.1%
 
7.5661< 0.1%
 

h1_arterial_ph_min
Real number (ℝ≥0)

MISSING

Distinct count601
Unique (%)2.7%
Missing107849
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean7.327770575578267
Minimum6.9
Maximum7.563
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:34.575788image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile7.12
Q17.28
median7.34
Q37.4
95-th percentile7.48
Maximum7.563
Range0.663
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.108657729
Coefficient of variation (CV)0.0148282111
Kurtosis1.830619753
Mean7.327770576
Median Absolute Deviation (MAD)0.06
Skewness-0.9959331958
Sum163467.906
Variance0.01180650208
2021-01-30T16:53:34.714040image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.347370.6%
 
7.357110.5%
 
7.327080.5%
 
7.367060.5%
 
7.377060.5%
 
7.336970.5%
 
7.386970.5%
 
7.396290.5%
 
7.46240.5%
 
7.316100.5%
 
Other values (591)1548311.9%
 
(Missing)10784982.9%
 
ValueCountFrequency (%) 
6.91220.1%
 
6.9011< 0.1%
 
6.9021< 0.1%
 
6.9041< 0.1%
 
6.9051< 0.1%
 
ValueCountFrequency (%) 
7.5631110.1%
 
7.5623< 0.1%
 
7.5591< 0.1%
 
7.5563< 0.1%
 
7.5541< 0.1%
 

h1_arterial_po2_max
Real number (ℝ≥0)

MISSING

Distinct count1844
Unique (%)8.1%
Missing107445
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean163.03583458083833
Minimum34.0
Maximum534.905
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:34.851896image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile55.6
Q180
median119.9
Q3214
95-th percentile409
Maximum534.905
Range500.905
Interquartile range (IQR)134

Descriptive statistics

Standard deviation112.6467434
Coefficient of variation (CV)0.6909324182
Kurtosis1.016704573
Mean163.0358346
Median Absolute Deviation (MAD)49.2
Skewness1.329948761
Sum3702869.875
Variance12689.28881
2021-01-30T16:53:34.968920image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
811930.1%
 
761910.1%
 
801820.1%
 
711820.1%
 
821790.1%
 
741770.1%
 
841730.1%
 
791720.1%
 
671680.1%
 
831680.1%
 
Other values (1834)2092716.1%
 
(Missing)10744582.6%
 
ValueCountFrequency (%) 
341210.1%
 
34.31< 0.1%
 
34.41< 0.1%
 
34.51< 0.1%
 
34.81< 0.1%
 
ValueCountFrequency (%) 
534.9051150.1%
 
5342< 0.1%
 
533.21< 0.1%
 
5321< 0.1%
 
5314< 0.1%
 

h1_arterial_po2_min
Real number (ℝ≥0)

MISSING

Distinct count1843
Unique (%)8.1%
Missing107445
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean145.9495365885875
Minimum31.0
Maximum514.905
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:35.104409image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile53
Q177
median108
Q3182
95-th percentile376
Maximum514.905
Range483.905
Interquartile range (IQR)105

Descriptive statistics

Standard deviation100.2119348
Coefficient of variation (CV)0.6866204386
Kurtosis2.153965996
Mean145.9495366
Median Absolute Deviation (MAD)40
Skewness1.598806784
Sum3314805.875
Variance10042.43188
2021-01-30T16:53:35.220029image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
812140.2%
 
762040.2%
 
802030.2%
 
822000.2%
 
691970.2%
 
731970.2%
 
711910.1%
 
671890.1%
 
721890.1%
 
741880.1%
 
Other values (1833)2074015.9%
 
(Missing)10744582.6%
 
ValueCountFrequency (%) 
311180.1%
 
31.21< 0.1%
 
31.31< 0.1%
 
31.51< 0.1%
 
3216< 0.1%
 
ValueCountFrequency (%) 
514.9051150.1%
 
5143< 0.1%
 
513.91< 0.1%
 
5135< 0.1%
 
5121< 0.1%
 

h1_pao2fio2ratio_max
Real number (ℝ≥0)

MISSING

Distinct count3425
Unique (%)20.4%
Missing113397
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean247.5254186358043
Minimum42.0
Maximum720.0
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:35.350386image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile69.69625
Q1144
median228.125
Q3333
95-th percentile483.3333333
Maximum720
Range678
Interquartile range (IQR)189

Descriptive statistics

Standard deviation131.4401666
Coefficient of variation (CV)0.531016844
Kurtosis0.2096361799
Mean247.5254186
Median Absolute Deviation (MAD)92.125
Skewness0.7054972671
Sum4148526.016
Variance17276.5174
2021-01-30T16:53:35.484415image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
200950.1%
 
42910.1%
 
720840.1%
 
160800.1%
 
190770.1%
 
180760.1%
 
210720.1%
 
300710.1%
 
250680.1%
 
260670.1%
 
Other values (3415)1597912.3%
 
(Missing)11339787.1%
 
ValueCountFrequency (%) 
42910.1%
 
42.222222221< 0.1%
 
42.61< 0.1%
 
437< 0.1%
 
43.11< 0.1%
 
ValueCountFrequency (%) 
720840.1%
 
718.33333331< 0.1%
 
716.66666671< 0.1%
 
7142< 0.1%
 
713.88888891< 0.1%
 

h1_pao2fio2ratio_min
Real number (ℝ≥0)

MISSING

Distinct count3404
Unique (%)20.3%
Missing113397
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean239.61735837250177
Minimum38.0
Maximum654.8137931
Zeros0
Zeros (%)0.0%
Memory size1016.9 KiB
2021-01-30T16:53:35.628840image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile66
Q1138
median218.75
Q3324
95-th percentile476.1904762
Maximum654.8137931
Range616.8137931
Interquartile range (IQR)186

Descriptive statistics

Standard deviation128.5622112
Coefficient of variation (CV)0.5365312935
Kurtosis-0.09400472361
Mean239.6173584
Median Absolute Deviation (MAD)90.75
Skewness0.6529804063
Sum4015986.926
Variance16528.24216
2021-01-30T16:53:35.754110image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
200940.1%
 
38850.1%
 
654.8137931850.1%
 
190800.1%
 
160770.1%
 
180740.1%
 
150720.1%
 
210720.1%
 
300690.1%
 
260660.1%
 
Other values (3394)1598612.3%
 
(Missing)11339787.1%
 
ValueCountFrequency (%) 
38850.1%
 
38.31< 0.1%
 
38.51< 0.1%
 
397< 0.1%
 
4010< 0.1%
 
ValueCountFrequency (%) 
654.8137931850.1%
 
653.33333331< 0.1%
 
652.38095241< 0.1%
 
642.85714292< 0.1%
 
6402< 0.1%
 

aids
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
130023
1
 
134
ValueCountFrequency (%) 
013002399.9%
 
11340.1%
 

cirrhosis
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
128064
1
 
2093
ValueCountFrequency (%) 
012806498.4%
 
120931.6%
 

hepatic_failure
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
128387
1
 
1770
ValueCountFrequency (%) 
012838798.6%
 
117701.4%
 

immunosuppression
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
126816
1
 
3341
ValueCountFrequency (%) 
012681697.4%
 
133412.6%
 

leukemia
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
129206
1
 
951
ValueCountFrequency (%) 
012920699.3%
 
19510.7%
 

lymphoma
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
129612
1
 
545
ValueCountFrequency (%) 
012961299.6%
 
15450.4%
 

solid_tumor_with_metastasis
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
127443
1
 
2714
ValueCountFrequency (%) 
012744397.9%
 
127142.1%
 

diabetes_mellitus
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1016.9 KiB
0
102006
1
28151
ValueCountFrequency (%) 
010200678.4%
 
12815121.6%